91653 Python Jobs - Page 19

As an Infrastructure Engineer III - AWS SRE Engineer at JPMorgan Chase within the Asset & Wealth Management Technology team, your role involves being a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team. Leads initiatives to improve the reliability and stability of your team s applications and platforms using data-driven analytics to improve service levels. Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers. Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise. Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses. Documents and shares knowledge within your organization via internal forums and communities of practice Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Experience in Spark, AWS, Python / Java programming Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform. Fluency in at least one programming language such as (e.g., Python, Java Spring Boot, .Net, etc.) Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc. Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.) Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.) Experience with troubleshooting common networking technologies and issues Ability to identify and solve problems related to complex data structures and algorithms. Preferred qualifications, capabilities, and skills Drive to self-educate and evaluate new technology Ability to teach new programming languages to team members Ability to expand and collaborate across different levels and stakeholder groups As an Infrastructure Engineer III - AWS SRE Engineer at JPMorgan Chase within the Asset & Wealth Management Technology team, your role involves being a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team. Leads initiatives to improve the reliability and stability of your team s applications and platforms using data-driven analytics to improve service levels. Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers. Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise. Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses. Documents and shares knowledge within your organization via internal forums and communities of practice Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Experience in Spark, AWS, Python / Java programming Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform. Fluency in at least one programming language such as (e.g., Python, Java Spring Boot, .Net, etc.) Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc. Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.) Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.) Experience with troubleshooting common networking technologies and issues Ability to identify and solve problems related to complex data structures and algorithms. Preferred qualifications, capabilities, and skills Drive to self-educate and evaluate new technology Ability to teach new programming languages to team members Ability to expand and collaborate across different levels and stakeholder groups

If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. As a Senior Lead Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you will be a key member of the Data Product Solutions Architecture Team. Your role involves designing, developing, and implementing analytical data solutions that align with the organizations strategic goals. You will leverage your expertise in data architecture, data modeling, data migrations and data integration, collaborating with cross-functional teams to achieve target state architecture goals. Job responsibilities Represent the Data Product Solutions Architecture team in various forums, advising on Data Product Solutions. Lead the design and maintenance of scalable data solutions, including data lakes and warehouses. Collaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making. Evaluate and select data technologies, driving the adoption of emerging technologies. Develop architectural models using Archimate, C4 Model, etc. and other artifacts to support data initiatives. Serve as a subject matter expert in specific areas. Contribute to the data engineering community and advocate for firmwide data practices. Engage in hands-on coding and design to implement production solutions. Optimize system performance by resolving inefficiencies. Influence product design and technical operations. Develop multi-year roadmaps aligned with business and data technology strategies. Design reusable data frameworks using new technologies. Required qualifications, capabilities, and skills Bachelors or Masters degree in Computer Science or related field with 10+ years of experience. 5+ years as a Data Product Solution Architect or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. Hands-on experience in system design, application development, and operational stability. Expertise in architecture disciplines and programming languages. Deep knowledge of data architecture, modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in data engineering Practical experience with AWS, big data technologies, and data engineering disciplines. Advanced experience in one or more data engineering disciplines, e.g. streaming, ELT/ELT, event processing. Proficiency in SQL and data warehousing solutions using Teradata or similar cloud native relational databases, e.g. Snowflake, Athena, Postgres Strong problem-solving, communication, and interpersonal skills. Ability to evaluate and recommend technologies for future state architecture. Preferred qualifications, capabilities, and skills Financial services experience, especially in card and banking. Experience with modern data processing technologies such as Kafka streaming, DBT, Spark, Python, Java, Airflow, etc. using data mesh & data lake. Business architecture knowledge and experience with architecture assessment frameworks. If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. As a Senior Lead Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you will be a key member of the Data Product Solutions Architecture Team. Your role involves designing, developing, and implementing analytical data solutions that align with the organizations strategic goals. You will leverage your expertise in data architecture, data modeling, data migrations and data integration, collaborating with cross-functional teams to achieve target state architecture goals. Job responsibilities Represent the Data Product Solutions Architecture team in various forums, advising on Data Product Solutions. Lead the design and maintenance of scalable data solutions, including data lakes and warehouses. Collaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making. Evaluate and select data technologies, driving the adoption of emerging technologies. Develop architectural models using Archimate, C4 Model, etc. and other artifacts to support data initiatives. Serve as a subject matter expert in specific areas. Contribute to the data engineering community and advocate for firmwide data practices. Engage in hands-on coding and design to implement production solutions. Optimize system performance by resolving inefficiencies. Influence product design and technical operations. Develop multi-year roadmaps aligned with business and data technology strategies. Design reusable data frameworks using new technologies. Required qualifications, capabilities, and skills Bachelors or Masters degree in Computer Science or related field with 10+ years of experience. 5+ years as a Data Product Solution Architect or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. Hands-on experience in system design, application development, and operational stability. Expertise in architecture disciplines and programming languages. Deep knowledge of data architecture, modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in data engineering Practical experience with AWS, big data technologies, and data engineering disciplines. Advanced experience in one or more data engineering disciplines, e.g. streaming, ELT/ELT, event processing. Proficiency in SQL and data warehousing solutions using Teradata or similar cloud native relational databases, e.g. Snowflake, Athena, Postgres Strong problem-solving, communication, and interpersonal skills. Ability to evaluate and recommend technologies for future state architecture. Preferred qualifications, capabilities, and skills Financial services experience, especially in card and banking. Experience with modern data processing technologies such as Kafka streaming, DBT, Spark, Python, Java, Airflow, etc. using data mesh & data lake. Business architecture knowledge and experience with architecture assessment frameworks.

You belong to the top echelon of talent in your field. At one of the worlds most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. As an Infrastructure Engineer III at JPMorgan Chase within the Chief Technology Office team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope. Job responsibilities Utilize High Security Access (HSA) systems, requiring enhanced screening for successful employment or assignments. Develop and implement proactive monitoring systems, contributing to automatic healing and recovery during system failures. Collect, analyze, and synthesize data to develop visualizations and reports on application/system health, uptime, and performance improvements. Manage change and capacity for supported services. Foster strong relationships with development teams throughout the lifecycle to build reliability. Analyze incident/problem patterns, conduct thorough post-mortems, and develop permanent remediation plans. Implement automation to prevent future incidents. Proactively identify hidden problems and patterns, facilitating maximum delivery speed by addressing service disruptions. Promote a team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on Infrastructure engineering concepts and 3+ years applied experience Proficient in platform skills (Linux, UNIX, and Windows) and application/middleware support. Expertise in observability, instrumentation, monitoring, alerting, and responding to performance and availability issues using tools like AppDynamics, Dynatrace, Splunk, and Grafana. Extensive experience with automation and configuration tools like Ansible, Puppet, and Chef. Proficient in scripting and programming languages such as Python and Java. Experienced in handling critical application outages in large-scale operations, driving root cause analysis and remediation. Experience with Jenkins, GIT, CI/CD pipelines, and Agile/Scrum practices. Preferred qualifications, capabilities, and skills Understanding of DevOps and SRE principles. Knowledge of infrastructure management, capacity planning, and resilience strategies. You belong to the top echelon of talent in your field. At one of the worlds most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. As an Infrastructure Engineer III at JPMorgan Chase within the Chief Technology Office team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope. Job responsibilities Utilize High Security Access (HSA) systems, requiring enhanced screening for successful employment or assignments. Develop and implement proactive monitoring systems, contributing to automatic healing and recovery during system failures. Collect, analyze, and synthesize data to develop visualizations and reports on application/system health, uptime, and performance improvements. Manage change and capacity for supported services. Foster strong relationships with development teams throughout the lifecycle to build reliability. Analyze incident/problem patterns, conduct thorough post-mortems, and develop permanent remediation plans. Implement automation to prevent future incidents. Proactively identify hidden problems and patterns, facilitating maximum delivery speed by addressing service disruptions. Promote a team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on Infrastructure engineering concepts and 3+ years applied experience Proficient in platform skills (Linux, UNIX, and Windows) and application/middleware support. Expertise in observability, instrumentation, monitoring, alerting, and responding to performance and availability issues using tools like AppDynamics, Dynatrace, Splunk, and Grafana. Extensive experience with automation and configuration tools like Ansible, Puppet, and Chef. Proficient in scripting and programming languages such as Python and Java. Experienced in handling critical application outages in large-scale operations, driving root cause analysis and remediation. Experience with Jenkins, GIT, CI/CD pipelines, and Agile/Scrum practices. Preferred qualifications, capabilities, and skills Understanding of DevOps and SRE principles. Knowledge of infrastructure management, capacity planning, and resilience strategies.

Job summary J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as a Lead Data Scientist, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science. Job responsibilities Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution. Conduct research on AI techniques to enhance model performance in the compliance and risk domains. Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system. Communicate technical concepts effectively to both technical and non-technical stakeholders. Develop and maintain tools and frameworks for model training, evaluation, and optimization. Analyze and interpret data to evaluate model performance and identify areas for improvement. Required qualifications, capabilities, and skills Master s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities. At least 10+ years of Experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow. Thorough knowledge of machine learning concepts, including transformers and language modeling. Experience in data pre-processing, feature engineering, and data analysis. Excellent problem-solving skills and the ability to communicate ideas and results clearly. Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows. Job summary J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as a Lead Data Scientist, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science. Job responsibilities Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution. Conduct research on AI techniques to enhance model performance in the compliance and risk domains. Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system. Communicate technical concepts effectively to both technical and non-technical stakeholders. Develop and maintain tools and frameworks for model training, evaluation, and optimization. Analyze and interpret data to evaluate model performance and identify areas for improvement. Required qualifications, capabilities, and skills Master s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities. At least 10+ years of Experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow. Thorough knowledge of machine learning concepts, including transformers and language modeling. Experience in data pre-processing, feature engineering, and data analysis. Excellent problem-solving skills and the ability to communicate ideas and results clearly. Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.

If you are a software engineering leader ready to take the reins and drive impact, we ve got an opportunity just for you. As a Director of Software Engineering at JPMorgan Chase within the Commercial & Investment Banking, you will lead a technical domain, managing teams, technologies, and projects across multiple departments. Your deep expertise in software, applications, technical processes, and product management will be vital in managing numerous complex projects and initiatives, serving as the key decision maker for your teams while promoting innovation and effective solution delivery. With over 15 years of experience in developing Risk Management Systems for the Macro business, you have proven success in leading large teams and collaborating effectively with diverse internal stakeholders. Job Responsibilities Lead and manage large software development teams, fostering a culture of innovation, collaboration, and excellence Provide strategic direction and mentorship to team members, ensuring alignment with organizational goals. Establish and maintain effective partnerships with internal stakeholders across various lines of business. Oversee the planning, execution, and delivery of complex software projects, ensuring they meet business requirements, timelines, and budget constraints. Implement best practices in project management and software development methodologies. Leverage extensive technical expertise in Python, AWS cloud platforms to steer the creation of scalable and robust software solutions. Possess a strong understanding of data architectures to ensure optimal design and implementation. Work with Apache Spark, EMR, Glue, and Parquet to process and analyze large datasets, promoting insights and decision-making through advanced data analytics. Optimize Redshift-based data pipelines for performance, managing over 100+ TB of data, and ensuring efficient data processing and retrieva Handle petabytes of data in data lake and data lakehouse environments like Iceberg, implementing best practices for data management, storage, and retrieval. Leverage experience with JPMorgans in-house risk management system, Athena, across various lines of business in markets such as Commodities and Rates. Demonstrate a comprehensive understanding of the trade lifecycle, risk management, and financial products in investment banking, including options, swaps, equities, bonds, and repo. Collaborate with cross-functional teams to ensure seamless integration and functionality of software solutions. Promote innovation by staying abreast of emerging technologies and industry trends. Develop and implement strategies that enhance the efficiency and effectiveness of software development processes. Champion Agile methodologies to enhance project delivery, team collaboration, and continuous improvement. Facilitate Agile ceremonies and ensure adherence to Agile principles and practices. Required qualifications, capabilities and skills Formal training or certification on large scale technology program concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise Proven track record of leading large global teams (50+ developers). Technical Skills Expertise in Python, AWS cloud platform (S3, Lambda, Kinesis, EC2, DynamoDB, EventBridge, MKS), big data technologies, and data lake/lakehouse architectures (Iceberg). Architect level expertise in data solutions. Modern skills in Cloud and AI. Risk Management System Extensive experience with risk management system across various lines of business. Financial Products Knowledge Strong understanding of trade lifecycle, risk management, trade model, trade booking and financial products in investment banking. Expertise in Commodities required. Leadership Skills Exceptional leadership, communication, and interpersonal skills. Ability to inspire and motivate teams to achieve high performance. Preferred qualifications, capabilities and skills Experience in JPMorgans Athena RMS is preferred. If you are a software engineering leader ready to take the reins and drive impact, we ve got an opportunity just for you. As a Director of Software Engineering at JPMorgan Chase within the Commercial & Investment Banking, you will lead a technical domain, managing teams, technologies, and projects across multiple departments. Your deep expertise in software, applications, technical processes, and product management will be vital in managing numerous complex projects and initiatives, serving as the key decision maker for your teams while promoting innovation and effective solution delivery. With over 15 years of experience in developing Risk Management Systems for the Macro business, you have proven success in leading large teams and collaborating effectively with diverse internal stakeholders. Job Responsibilities Lead and manage large software development teams, fostering a culture of innovation, collaboration, and excellence Provide strategic direction and mentorship to team members, ensuring alignment with organizational goals. Establish and maintain effective partnerships with internal stakeholders across various lines of business. Oversee the planning, execution, and delivery of complex software projects, ensuring they meet business requirements, timelines, and budget constraints. Implement best practices in project management and software development methodologies. Leverage extensive technical expertise in Python, AWS cloud platforms to steer the creation of scalable and robust software solutions. Possess a strong understanding of data architectures to ensure optimal design and implementation. Work with Apache Spark, EMR, Glue, and Parquet to process and analyze large datasets, promoting insights and decision-making through advanced data analytics. Optimize Redshift-based data pipelines for performance, managing over 100+ TB of data, and ensuring efficient data processing and retrieva Handle petabytes of data in data lake and data lakehouse environments like Iceberg, implementing best practices for data management, storage, and retrieval. Leverage experience with JPMorgans in-house risk management system, Athena, across various lines of business in markets such as Commodities and Rates. Demonstrate a comprehensive understanding of the trade lifecycle, risk management, and financial products in investment banking, including options, swaps, equities, bonds, and repo. Collaborate with cross-functional teams to ensure seamless integration and functionality of software solutions. Promote innovation by staying abreast of emerging technologies and industry trends. Develop and implement strategies that enhance the efficiency and effectiveness of software development processes. Champion Agile methodologies to enhance project delivery, team collaboration, and continuous improvement. Facilitate Agile ceremonies and ensure adherence to Agile principles and practices. Required qualifications, capabilities and skills Formal training or certification on large scale technology program concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise Proven track record of leading large global teams (50+ developers). Technical Skills Expertise in Python, AWS cloud platform (S3, Lambda, Kinesis, EC2, DynamoDB, EventBridge, MKS), big data technologies, and data lake/lakehouse architectures (Iceberg). Architect level expertise in data solutions. Modern skills in Cloud and AI. Risk Management System Extensive experience with risk management system across various lines of business. Financial Products Knowledge Strong understanding of trade lifecycle, risk management, trade model, trade booking and financial products in investment banking. Expertise in Commodities required. Leadership Skills Exceptional leadership, communication, and interpersonal skills. Ability to inspire and motivate teams to achieve high performance. Preferred qualifications, capabilities and skills Experience in JPMorgans Athena RMS is preferred.

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking - Trade team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in Core Java, J2EE development including application servers like Tomcat / Weblogic and corresponding web server, IDEs like Eclipse, server-side application development along with React Proficiency in develop frameworks like Spring and ORM concepts with specific work on Hibernate or iBatis along with experience with database programming using SQL on Oracle 9i / Oracle 10g Experience with Implementing code quality tools like SONAR, Checkstyle, PMD etc Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Preferred qualifications, capabilities, and skills Experience of NoSql DB and AWS is good to have. Artificial Intelligence / Machine Learning Development experience including Python Language development Prior exposure to Agile development lifecycle will be a big advantage Java & Cloud Certification will be an advantage Mule ESB is preferable We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking - Trade team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in Core Java, J2EE development including application servers like Tomcat / Weblogic and corresponding web server, IDEs like Eclipse, server-side application development along with React Proficiency in develop frameworks like Spring and ORM concepts with specific work on Hibernate or iBatis along with experience with database programming using SQL on Oracle 9i / Oracle 10g Experience with Implementing code quality tools like SONAR, Checkstyle, PMD etc Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Preferred qualifications, capabilities, and skills Experience of NoSql DB and AWS is good to have. Artificial Intelligence / Machine Learning Development experience including Python Language development Prior exposure to Agile development lifecycle will be a big advantage Java & Cloud Certification will be an advantage Mule ESB is preferable

Job summary J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as a Lead Data Scientist, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science. Job responsibilities Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution. Conduct research on AI techniques to enhance model performance in the compliance and risk domains. Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system. Communicate technical concepts effectively to both technical and non-technical stakeholders. Develop and maintain tools and frameworks for model training, evaluation, and optimization. Analyze and interpret data to evaluate model performance and identify areas for improvement. Required qualifications, capabilities, and skills Master s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities. At least 12+ years of Experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow. Thorough knowledge of machine learning concepts, including transformers and language modeling. Experience in data pre-processing, feature engineering, and data analysis. Excellent problem-solving skills and the ability to communicate ideas and results clearly. Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows. Job summary J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as a Lead Data Scientist, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science. Job responsibilities Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution. Conduct research on AI techniques to enhance model performance in the compliance and risk domains. Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system. Communicate technical concepts effectively to both technical and non-technical stakeholders. Develop and maintain tools and frameworks for model training, evaluation, and optimization. Analyze and interpret data to evaluate model performance and identify areas for improvement. Required qualifications, capabilities, and skills Master s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities. At least 12+ years of Experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow. Thorough knowledge of machine learning concepts, including transformers and language modeling. Experience in data pre-processing, feature engineering, and data analysis. Excellent problem-solving skills and the ability to communicate ideas and results clearly. Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.

If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. As a Senior Lead Architect at JPMorgan Chase within the Payment Technology, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains. Job responsibilities Represents a product family of technical governance bodies Provides feedback and proposes improvements to architecture governance practices Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Contributes actively to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Expert level knowledge building the distributed system and in building the even-driven architectures Expert level knowledge in building and deploying application which are HA, resilient, scalable and observable. Understand the various system design patterns - such as IAAS, PAAS and SAAS. Advanced in one or more programming languages(Java or equivalent OOP, Python, Unix ), applications, and architecture Advanced knowledge of software architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight along with ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture Practical cloud native (AWS) experience Good communication and client handling skills Preferred qualifications, capabilities, and skills Terraform and AWS Certification - Nice to have If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. As a Senior Lead Architect at JPMorgan Chase within the Payment Technology, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains. Job responsibilities Represents a product family of technical governance bodies Provides feedback and proposes improvements to architecture governance practices Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Contributes actively to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Expert level knowledge building the distributed system and in building the even-driven architectures Expert level knowledge in building and deploying application which are HA, resilient, scalable and observable. Understand the various system design patterns - such as IAAS, PAAS and SAAS. Advanced in one or more programming languages(Java or equivalent OOP, Python, Unix ), applications, and architecture Advanced knowledge of software architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight along with ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture Practical cloud native (AWS) experience Good communication and client handling skills Preferred qualifications, capabilities, and skills Terraform and AWS Certification - Nice to have

Control Management is designed to ensure a strong and consistent control environment across the organization. With control managers appointed for each line of business, function and region, there is a comprehensive coverage/accountability model that promotes firmwide dialogue and consistency in approach and solutions. Job Summary As a Vice President Control Manager within the Central Control Management team, you will play a vital role in supporting the Controls-related agenda for the businesses/functions in the Corporate Centers, India. Accountable to the Control Management Lead (Corporate Centers, India), you will be crucial in supporting both the day-to-day and strategic objectives of the team; advocating the execution and delivery of a broad spectrum of key initiatives. Additionally, the role will ensure the team assists in top down risk analysis, real time control issue detection, escalation, root cause analysis and remediation. Job responsibilities Create a proactive risk and control culture that leverages proven evaluation strategies and sound change management protocols Provide leadership support for the end-to-end execution of the Control and Operational Risk Evaluation (CORE), including identifying control gaps and approaches for resolutions, to reduce financial loss, regulatory exposure, and reputational risk Review and analyze program related data (e.g., KRI/KPI) to support business-related programs and strategies Provide regular updates to management on the control environment including preparing control committee materials Stay abreast of new or updated regulatory requirements, risk management policies/standards/procedures, and technology solutions to understand changes to processes and verify compliance with evolving control requirements. Lead various strategic projects, process enhancements, and control initiatives related to material risk and control programs Develop an understanding of JPMC s risk and control framework and apply this knowledge to challenge and improve existing processes Partner with lines of business and functional control manager teams to identify areas of high risk and implement data-driven solutions to provide value added analysis and influence key decision making Partner closely with technology to ensure delivery of proposed solutions Manage/participate in multiple project work-streams concurrently Create a proactive risk and control culture that leverages proven evaluation strategies and sound change management protocols Required qualifications, capabilities and skills Bachelor s degree or equivalent experience required Proficient knowledge of control and risk management concepts with the ability to design, create, and evaluate a Risk & Control Self-Assessment in conjunction with business partners Proficient in Tableau, Alteryx, Microsoft Office Suite (Word, Excel, PowerPoint, Visio) Experience project managing small to large scale projects Enthusiastic, self-motivated, effective under pressure and willing to take personal responsibility/accountability Flexible, adaptable to shifting priorities; able to work in a fast-paced, results driven environment Effective time management and multitasking skills Proficient knowledge of control and risk management concepts with the ability to design, create and evaluate risks and controls in conjunction with business partners Ability to translate business/functional problems into a conceptual analytical and automation technical architecture Demonstrated ability to effectively manage all facets of the analytical and automation project lifecycle (data exploration, hypothesis testing, code development, testing/validation, model deployment, etc.) Essential tools knowledge Alteryx, Tableau, RPA, UiPath, Python, MSSQL Server, JIRA and GIT Preferred qualifications, capabilities and skills 10+ years of financial service experience in controls, audit, quality assurance, risk management, or compliance Experience working with internal control and risk management Control Management is designed to ensure a strong and consistent control environment across the organization. With control managers appointed for each line of business, function and region, there is a comprehensive coverage/accountability model that promotes firmwide dialogue and consistency in approach and solutions. Job Summary As a Vice President Control Manager within the Central Control Management team, you will play a vital role in supporting the Controls-related agenda for the businesses/functions in the Corporate Centers, India. Accountable to the Control Management Lead (Corporate Centers, India), you will be crucial in supporting both the day-to-day and strategic objectives of the team; advocating the execution and delivery of a broad spectrum of key initiatives. Additionally, the role will ensure the team assists in top down risk analysis, real time control issue detection, escalation, root cause analysis and remediation. Job responsibilities Create a proactive risk and control culture that leverages proven evaluation strategies and sound change management protocols Provide leadership support for the end-to-end execution of the Control and Operational Risk Evaluation (CORE), including identifying control gaps and approaches for resolutions, to reduce financial loss, regulatory exposure, and reputational risk Review and analyze program related data (e.g., KRI/KPI) to support business-related programs and strategies Provide regular updates to management on the control environment including preparing control committee materials Stay abreast of new or updated regulatory requirements, risk management policies/standards/procedures, and technology solutions to understand changes to processes and verify compliance with evolving control requirements. Lead various strategic projects, process enhancements, and control initiatives related to material risk and control programs Develop an understanding of JPMC s risk and control framework and apply this knowledge to challenge and improve existing processes Partner with lines of business and functional control manager teams to identify areas of high risk and implement data-driven solutions to provide value added analysis and influence key decision making Partner closely with technology to ensure delivery of proposed solutions Manage/participate in multiple project work-streams concurrently Create a proactive risk and control culture that leverages proven evaluation strategies and sound change management protocols Required qualifications, capabilities and skills Bachelor s degree or equivalent experience required Proficient knowledge of control and risk management concepts with the ability to design, create, and evaluate a Risk & Control Self-Assessment in conjunction with business partners Proficient in Tableau, Alteryx, Microsoft Office Suite (Word, Excel, PowerPoint, Visio) Experience project managing small to large scale projects Enthusiastic, self-motivated, effective under pressure and willing to take personal responsibility/accountability Flexible, adaptable to shifting priorities; able to work in a fast-paced, results driven environment Effective time management and multitasking skills Proficient knowledge of control and risk management concepts with the ability to design, create and evaluate risks and controls in conjunction with business partners Ability to translate business/functional problems into a conceptual analytical and automation technical architecture Demonstrated ability to effectively manage all facets of the analytical and automation project lifecycle (data exploration, hypothesis testing, code development, testing/validation, model deployment, etc.) Essential tools knowledge Alteryx, Tableau, RPA, UiPath, Python, MSSQL Server, JIRA and GIT Preferred qualifications, capabilities and skills 10+ years of financial service experience in controls, audit, quality assurance, risk management, or compliance Experience working with internal control and risk management

. . At Junipers AIDE (AI Driven Enterprise), we are looking for a highly motivated Regression Test Engineer to test and automate UI and API features. You will learn Mist products and be responsible for UI and API staging smoke testing and validating production; automating regression tests; discussing with our developers to understand software functional specs; working with the lead to continuously improve test plans and expand test cases; working with the customer success team to solve and fix real life issues; and writing detailed documentation of the product for customers to reference. The is an onsite position and requires commute to office 5 days a week. Responsibilities: QA validation of Web GUI and REST API features in Mist Cloud. Understand the Mist UI and API architecture to be able to improve the current design and make the system more robust Create defect and enhancement tickets in the ticket tracking system, and work on them closely with Engineering team Support regular releases of new code to customer cloud instances through staging smoke test and production sanity test Execute and automate regression test cases Recreate customer issues and work closely with Engineering Teams to drive resolution Work closely with Customer Success team to review the customer reported defects and enhance the test coverage Timely escalation of critical issues Create Technical documentation for CS and QA teams in Confluence Demonstrate ability to manage multiple projects and work calmly under pressure Demonstrate ability to work independently and to function in a team environment Minimum Qualifications: 0-1 years of related experience BE/ME/MS in CS or related discipline Strong communication skills, especially written Ability to work collaboratively and solve problems Ability to communicate project status and identify risk Strong interpersonal skills Strong programming fundamentals Proficiency in programming languages such as Python Preferred Qualifications: Hands on experience with basic UI and API troubleshooting Demonstrated track record of taking initiative and being resourceful Experience writing regression test cases Basic knowledge of JSON and Django RESTful API Prior experience with automation using Selenium Prior experience with automation using Pytest Comfortable working with different teams in a fast-paced environment Knowledge in networking related technologies Other Information: Join team meeting twice a week in late or early hours to accommodate US schedule Onsite position Relocation is available for this position Travel requirements for the position: 0% We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A unique opportunity to join AtkinsR alis dynamic Transfer Pricing ( TP ) Team, which serves the group globally. Working as part of a global team, you will be exposed to a broad range of Transfer Pricing topics. The TP team thrives to deliver results collaboratively to achieve positive impacts on the overall organization. You will grow by exploring and developing knowledge in local TP regulations and participating in a wide-ranged of TP projects, while collaborating internationally with internal clients and external advisors. Are you a strong team player that is also a self-starter who enjoys solving problems and working on a variety of projects from the concept stage through to delivery? If this sounds like you, look no further and apply to join our team today. How will you contribute to the team? Transfer Pricing. Monitor local TP regulations and provide recommendations on documentation requirements. Support the Group s OECD Country-by-Country Reporting process. Assist in the calculations of the Group s management fee recharges and its documentation. Analyse related party transaction data and support the preparation and filings of annual related party returns (e.g. T106, 5472). Prepare and maintain TP documentation (in-house as well as with the support of external consultants, as applicable). Tax Transformation. Identify and formulate solutions to improve existing process and increase operational efficiency. Support tax transformation projects by contributing to process improvements, building dashboards, automating monotonous tasks. Stay updated on tax regulations and technology trends and further develop skills in tax technology and automation using latest tools (Python, Tableau, PowerBI, etc). Create data dashboards, develop metrics analysis and provide relevant reports to stakeholders. Collaborate and Support the Business Assist business units in setting up intercompany service agreements. Assist in ad hoc TP projects, or new initiatives. Liaise with external consultants and advisors. Transfer Pricing Audits and Inspections: Assist in managing tax audits and enquiries from tax authorities. Prepare and provide necessary information, documentation and responses to tax authorities. Continuous Improvement: Stay updated with the latest tax regulations and industry practices, assessing the impact of new legislation. Support the design and implementation of processes and templates surrounding tax compliance, maintaining robust reconciliations. What will you contribute? Essential: Bachelor s degree in accounting, finance, economics, or other related fields. Minimum 3 years of relevant experience (in transfer pricing, tax or other relevant finance experience). Strong spoken and writing skills in English. Advanced in Excel; Proficiency in Word and Power point. Ability to support or manage large data gathering processes. Solid skills in research, analysing information, performing quantitative analyses. Desirable: Experience of working with ERP systems (HFM, ePBCS, FCCS, etc). Ability to identify process efficiency opportunities and automation (e.g. Alteryx) would be highly valued. Ability to handle numerous files at the same time and be able to work under pressure. Good communicator to inform manager/stakeholders of progress on current files or tasks. Knowledge of French would be highly valued (but not necessary). Behavioural Competencies: An independent, proactive and intellectually curious professional. Time Management - Able to prioritise and achieve objectives within strict deadlines. Passion to learn about transfer pricing in other jurisdictions to provide assistance and advice to internal clients globally. Strong client orientation. Cultural Awareness - Able to work within a diverse team and to engage all colleagues. What We Can Offer You: Varied, interesting and meaningful work. A hybrid working environment with flexibility and great opportunities. Opportunities for training and, as the team grows, career progression or sideways moves. An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual. Worker Type Employee Job Type Regular

Are you an Engineering Graduate with a flair for Asset Management, materials inventory cataloguing, database processing, and who thrives on analysing and solving difficult problems? Are you drawn to complex projects and excited by the opportunity to develop and learn new skills? If so, you will be part of a dynamic team delivering exciting projects in the nuclear industry sector. You re likely to be handling challenging engineering analysis and database processing tasks, so enjoying analytical problem solving is a must! The constant in this role is the complex nature of the job and the chance to provide innovative solutions to a range of problems for several appreciative clients in the nuclear sector. Read More About How You Can Thrive with Us. You ll be engaged in the development of engineering solutions to the nuclear industry s most cutting-edge problems, so you ll be making an important and rewarding contribution to the energy and environmental security of countries such as the UK and beyond. If you are a self-starter who works closely with clients and internal teams to capture requirements and generates first-time-right deliverables for challenging data processing and engineering analysis problems, then we d love you to apply. Role Requirements: You will work within small to medium-sized engineering teams. To benefit from the collective experience of the team, our clients and drive innovative thinking, you ll work in a collaborative and supportive office environment. You will bring a level of technical knowledge and enthusiasm to working within those teams to effectively perform tasks for multiple workstreams. Essential Criteria: Bachelor s or master s degree in engineering (Nuclear / Mechanical / Electrical / Control & Instrumentation). High motivation for the role, drive to deliver and willingness to learn. An interest in developing your analytical problem-solving capabilities. An interest to learn digital tools and develop digital solutions to the client requirements. An interest in the engineering and safety intricacies of commercial nuclear reactor power plants. Ability to comprehend high-level technical documents in a detail-oriented manner. A commitment to our values of safety, integrity, collaboration, innovation and excellence. Please flag if you have experience in any of the following (but still apply if you might enjoy gaining that experience) - Experience in Microsoft Office EXCEL and associated MACROS. Knowledge of one or more programming languages such as Python, RegEx, Power Query, Visual Basic etc. Exposure to SAP or formal data management software, techniques, and tools. Exposure to any software-based and digital systems in safety or mission critical industries. Note this is a contractual position at our Gurgaon and Bangalore locations with initial fixed term of 1 Year with potential for extension, based on performance and business requirements. What We Can Offer You: Varied, interesting and meaningful work. A hybrid working environment with flexibility and great opportunities. Opportunities for training and, as the team grows, career progression or sideways moves. An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual. Worker Type Contingent Worker Job Type Loan of Personnel

Do you enjoy testing complex enterprise systems across platforms and domains? Are you passionate about delivering high-quality software through automation and innovation? Join our unique quality assurance team The QA team ensures IT reliability by testing applications in finance, cloud, and DevOps environments. Responsibilities include automation, functional, integration, and regression testing. Collaboration across business units drives scalability and operational excellence through continuous improvement. Partner with the best As a Senior SDET, you will implement scalable QA practices to ensure smooth enterprise application releases. Contribute to testing strategies, automation, integration validation, and collaborate effectively with international teams. As a Software Development Engineer in Test Senior, you will be responsible for: Collaborating with management, architects, analysts, and developers to shape strategies, define plans, and create cases. Designing, developing, and executing test suites for UI, API, integration, database, and performance testing traceability. Ensuring quality assurance within finance ERP domains like Oracle EBS (GL, FA, AP, PO) or SAP FICO. Translating high-level requirements into measurable test plans and providing accurate estimations to support the teams roadmap execution Identifying, evaluating, automating test cases using industry-standard tools like Selenium, UFT, Robot Framework. Conducting integration testing across platforms using batch processing, shell scripts, file transfers, APIs, web services. Preparing and delivering comprehensive test documentation, reports, execution summaries, defect logs, traceability, and coverage metrics. Do what you love To be successful in this role you will: Have 5-7 years of relevant QA experience and a bachelors degree in related technical field Demonstrate expertise in SDLC, QA life cycle, and QA methodologies. Show expertise in finance ERP domains like Oracle EBS (GL, FA, AP, PO) or SAP FICO modules. Demonstrate hands-on experience with industry-standard automation frameworks and ALM tools like JIRA, Quality Center, or MTM Possess programming skills in Java, Python, or C# and experience writing and analysing complex SQL queries. Work in a way that works for you Learn what makes Akamai a great place to work Connect with us on social and see what life at Akamai is like! We power and protect life online, by solving the toughest challenges, together. At Akamai, were curious, innovative, collaborative and tenacious. We celebrate diversity of thought and we hold an unwavering belief that we can make a meaningful difference. Our teams use their global perspectives to put customers at the forefront of everything they do, so if you are people-centric, youll thrive here. Working for you At Akamai, we will provide you with opportunities to grow, flourish, and achieve great things. Our benefit options are designed to meet your individual needs for today and in the future. We provide benefits surrounding all aspects of your life: Your health Your finances Your family Your time at work Your time pursuing other endeavors Our benefit plan options are designed to meet your individual needs and budget, both today and in the future. About us Join us Are you seeking an opportunity to make a real difference in a company with a global reach and exciting services and clients? Come join us and grow with a team of people who will energize and inspire you!

About this opportunity Are you passionate about driving innovation and working on groundbreaking 5G and 6G mobile communication solutions? Do you thrive in a flexible working culture, where new insights are championed, and you are encouraged to develop new skills? We are looking for an FPGA Designer to join the Ericsson Silicon organization. You will work with a group of dedicated engineers passionate about developing world-class Radio and RAN Compute products. You will play a key role in the FPGA team developing and integrating complex systems for high-efficiency data transfer and processing with embedded subsystems. As part of our global organization, youll collaborate with talented teams across our various sites. We are committed to Agile principles, fostering a collaborative and innovative work environment that encourages creativity and teamwork. What you will do - Design and implement FPGA-based Radio and RAN Compute solutions - Develop and optimize FPGA designs for performance, power, and cost-efficiency - Collaborate with hardware and software engineers to integrate FPGA solutions into larger systems - Apply industry-standard tools and methodologies for FPGA development and implementation - Research and stay updated on the latest advancements in FPGA technology, including academia and industry trends in AI and Machine Learning - Document design specifications, test procedures, and results - Participate in design reviews and contribute innovative ideas to improve FPGA solutions You will bring To be successful in the role you must have: - 5+ years of experience in FPGA development - Comprehensive knowledge of: - FPGA technology, design environments, and design methodologies - FPGA design tools (e.g., Vivado, Quartus, or similar) - Hardware description languages (HDL), such as Verilog or VHDL - Experience with various communication protocols DDRX, AXI4, PCIE, SPI, I2C, embedded processing - Experience with scripting languages such as Python, Tcl, shell scripting, etc. - Familiarity with hardware architecture and digital signal processing - Excellent problem-solving and analytical skills - Excellent English verbal and written communication skills - High self-motivation and the ability to work independently while being a great teammate - A track record of successful cross-team and cross-site cooperation - A Masters degree in Electrical or Computer Engineering or equivalent Primary country and city: India (IN) || Bangalore Req ID: 768579

Fusion Applications Development - Fusion Application as a Service - Senior Member of Technical Staff Location: Bengaluru, India 10530.Software Developer 3.PRODEV.SWENG.IC3 Fusion Applications Development - Fusion Application as a Service - Senior Member of Technical Staff Location: Bengaluru, India Location: Bengaluru, India Preferred Qualifications The Oracle Cloud Infrastructure (OCI)/Cloud Engineering Infrastructure provides you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OCI is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the world s biggest challenges. We offer unique opportunities for inquisitive , hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact designing and building innovative new systems to power our customer s business critical applications. Fusion Application as a Service (FAaaS) is an exciting new team working on at the intersection of infrastructure and applications where we are demonstrating OCI to transform some of the largest SaaS properties in the industry. We are making the existing Oracles SaaS portfolios, including the multi-billion dollar revenue producing Fusion applications, become first class Oracle cloud citizens. To support the vision we are building a platform that manages end-to-end lifecycle, from provisioning to upgrade to terminate; and provides a self-service cloud experience to the customer for our SaaS product by demonstrating the underlying OCI platform and AI services. As a Software Engineer on the FAaaS team, you will be part of the effort in building distributed, scalable, fault tolerant software systems and AI models in support of our business needs and end customer. You will own the entire software lifecycle - development, testing, CI/CD and production operations. You must balance between product feature development and production operational concerns like writing run books, ops automation, structured logging, instrumentation for metrics and events demonstrating a plethora of internal tooling at OCI. From a technology perspective, this is a greenfield development environment with a huge amount of autonomy, leaving us free to build and innovate without being encumbered by legacy products and services. About You: You are an experienced cloud engineer with a proven track record of delivering high-scale, high-impact solutions You have experience in Designing, developing, and implementing AI models and algorithms to address business challenges and improve processes. You are obsessed with the customer, always exceeding expectations You have excellent communication skills. You can clearly explain complex technical concepts You are a disciplined engineer who understands the importance of high standards, never satisfied with mediocrity and constantly striving for excellence You are comfortable with ambiguity in a chaotic and fluid environment You are passionate about technology and are not afraid to defend your opinions or position with peers/superiors Minimum Qualifications 3+ years of experience shipping scalable, cloud native distributed systems BS in Computer Science, or equivalent experience Ability to work in a collaborative, multi-functional team environment Strong grasp of Computer Science concepts (data structures, algorithms, and programming paradigms) Proficient in at Java/C++, Python and shell scripting tools Designing, developing, and implementing AI models and algorithms to address business challenges and improve processes Experience with container orchestration like Kubernetes/Docker Swarm/Mesos, experience working on Helm Charts, etc. Strong working experience on GitHub/Bitbucket, TeamCity/Hudson, Maven/Gradle You are experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols Experience with components of modern infrastructure like service discovery, secret storage, containerization, software-defined networking, etc. Experience with production operations and standard processes for putting quality code in production and troubleshoot issues when they arise Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations) Preferred Qualifications BS/MS in Computer Science Experience in a fast-paced start-up environment Experience building control plane/data plane solutions for cloud native companies Experience in diagnosing, troubleshooting and resolving performance issues in complex environments Deep understanding of Unix-like operating systems Production experience with Cloud and ML technologies Data science and machine learning knowledge would be helpful but not required Detailed Description and Job Requirements As a member of this emerging software engineering division, you will assist in defining and developing software and AI models for tasks associated with the developing, debugging or designing of software applications or operating systems. You will provide technical leadership to other software developers including mentoring, code reviews, presentations and more. As with any new product delivery, duties and tasks will vary and changes in priority are the norm. Our vision is to provide an immersive self-service experience to our customer on Oracle Cloud. Aggressive as it might sound, our growth journey is fuelled by highly energetic, technology savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law. As a member of the software engineering division, you will assist in defining and developing software and AI models for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.

Management Level Associate & Summary . Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary We are looking for a seasoned JAVA Backend Developer s Must Have Bachelor s degree or higher in computer science or related field. Must have 8+ years of industry experience in related technologies Strong Computer Science foundation (data structures, algorithms, databases, distributed systems). Expertise in Java software development is a must have. Minimum Java 8 & Java 11 is preferred. Strong in spring boot Ability to develop REST APIs. General understanding of SQL is needed General understanding of MongoDB is needed Experience with AWS Understanding of container technologies (e.g., Docker, Kubernetes, Cloud Foundry, or Hashicorp Nomad/Consul/Vault). Practice of modern software engineering including agile methodologies, coding standards, code reviews, source control management, build processes, test automation, and CI/CD pipelines. Knowledge of moving code from Dev/ Test to Staging and Production. Troubleshoot issues along the CI/CD pipeline. Working knowledge in Solid project & client Must have excellent client communication skills Mandatory skill sets 1. Should have 2. Should have experience in Kafka 3. Should have experience in Elastic Search 4. Expertise with one or more programming languages (e.g., Golang, Python or the like), 5. understanding of the concepts, as well as the willingness to share and grow this 6. knowledge is welcomed. 7. Should have understanding in framework design and modeling, understand the impact 8. of object model design in a largescale multitenant OnDemand environment. 9. Proficiency in working with Linux or macOS environments. 10. Candidate should know basics of react, need not have project experience 11. Should be able to do minimal bug fixes in the UIExperience in custom plugin creation and maintenance in private npm proxy server. 12. Good to have knowledge of RESTful APIs and Graph QL 13. Good to have knowledge for Api development with Node JS or Spring Boot framework and any relational database management system. 14. Good to have knowledge of Native Mobile Platform (Android/iOS). Preferred skill sets JAVA Backend Years of experience required 4+ Education qualification BE/B.Tech/MBA Education Degrees/Field of Study required Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills Java No

Not Applicable Specialism Data, Analytics & AI & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s Must have Candidates with minimum 5 years of relevant experience for 1012 years of total experience (Architect / Managerial level). Deep expertise with technologies such as Data factory, Data Bricks (Advanced), SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services. Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level) Strong troubleshooting and debugging skills. Proven experience in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines. Experience in writing complex PySpark queries to perform data analysis. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. Mandatory skill sets Azure Databricks, Pyspark, Datafactory Preferred skill sets Azure Databricks, Pyspark, Datafactory, Python, Azure Devops Mandatory skill sets Azure Databricks, Pyspark, Datafactory Preferred skill sets Azure Databricks, Pyspark, Datafactory, Python, Azure Devops Years of experience required 915yrs Education qualification B.Tech / M.Tech / M.E / MCA/B.E Education Degrees/Field of Study required Bachelor of Technology, Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Azure Data Factory, Databricks Platform Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s Must have Candidates with minimum 5 years of relevant experience for 1012 years of total experience (Architect / Managerial level). Deep expertise with technologies such as Data factory, Data Bricks (Advanced), SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services. Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level) Strong troubleshooting and debugging skills. Proven experience in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines. Experience in writing complex PySpark queries to perform data analysis. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. Mandatory skill sets Azure Databricks, Pyspark, Datafactory Preferred skill sets Azure Databricks, Pyspark, Datafactory, Python, Azure Devops Mandatory skill sets Azure Databricks, Pyspark, Datafactory Preferred skill sets Azure Databricks, Pyspark, Datafactory, Python, Azure Devops Years of experience required 915yrs Education qualification B.Tech / M.Tech / M.E / MCA/B.E Education Degrees/Field of Study required Master of Engineering, Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred Required Skills Azure Data Factory, Databricks Platform Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decisionmaking. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Must have 1. SAP Native Hana modelling experience with good knowledge on architecture and different features of HANA DB and HANA on cloud, SLT, SDI (e.g. Hands on experience with calculated columns, Input parameters/Variables, Performance optimization techniques) 2. SAP Analytics SAP BW, SAP BW on HANA, SAP Native HANA, ADSO (Advanced Data Storage Options), CP (Composite Providers), Cube, Routines, DSO, InfoObjects, Multiproviders, Infosets 3. SAP Extractors, ABAP 4. Handson experience of SQL queries, performance optimization, delta/SCD logic and able to handle complex transformation logics. 5. Working on SLT 6. Able to independently handle the ETL activities including loading the data from SAP ECC, third party system to HANA, flat file and other business formats. 7. Understanding of Data Profiling, Data Quality, Data Integrator and platform transformations. 8. Handling SAP BODS, problem definition, Architecture/Design Detailing of Processes. Mandatory skill sets Native HANA, BW on HANA, SLT, SQL Certifications (any one) SAP Native HANA SAP BW on HANA SAP BI7.0 SAP BW3.5 Preferred skill sets Good to have Working knowledge of Python BODS Years of experience required Experience 510 Years Education qualification B.Tech / M.Tech / MCA/MBA Education Degrees/Field of Study required Master of Engineering, Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills SAP HANA Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more} No

Not Applicable Specialism Data, Analytics & AI & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s Must have Candidates with minimum 5 years of relevant experience for 1012 years of total experience (Architect / Managerial level). Deep expertise with technologies such as Data factory, Data Bricks (Advanced), SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services. Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level) Strong troubleshooting and debugging skills. Proven experience in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines. Experience in writing complex PySpark queries to perform data analysis. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. Mandatory skill sets Azure Databricks, Pyspark, Datafactory Preferred skill sets Azure Databricks, Pyspark, Datafactory, Python, Azure Devops Mandatory skill sets Azure Databricks, Pyspark, Datafactory Preferred skill sets Azure Databricks, Pyspark, Datafactory, Python, Azure Devops Years of experience required 915yrs Education qualification B.Tech / M.Tech / M.E / MCA/B.E Education Degrees/Field of Study required Master of Engineering, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Azure Data Factory, Databricks Platform Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decisionmaking. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Must have 1. SAP Native Hana modelling experience with good knowledge on architecture and different features of HANA DB and HANA on cloud, SLT, SDI (e.g. Hands on experience with calculated columns, Input parameters/Variables, Performance optimization techniques) 2. SAP Analytics SAP BW, SAP BW on HANA, SAP Native HANA, ADSO (Advanced Data Storage Options), CP (Composite Providers), Cube, Routines, DSO, InfoObjects, Multiproviders, Infosets 3. SAP Extractors, ABAP 4. Handson experience of SQL queries, performance optimization, delta/SCD logic and able to handle complex transformation logics. 5. Working on SLT 6. Able to independently handle the ETL activities including loading the data from SAP ECC, third party system to HANA, flat file and other business formats. 7. Understanding of Data Profiling, Data Quality, Data Integrator and platform transformations. 8. Handling SAP BODS, problem definition, Architecture/Design Detailing of Processes. Mandatory skill sets Native HANA, BW on HANA, SLT, SQL Certifications (any one) SAP Native HANA SAP BW on HANA SAP BI7.0 SAP BW3.5 Preferred skill sets Good to have Working knowledge of Python BODS Years of experience required Experience 510 Years Education qualification B.Tech / M.Tech / MCA/MBA Education Degrees/Field of Study required Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Required Skills SAP HANA Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more} No

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decisionmaking. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Must have 1. SAP Native Hana modelling experience with good knowledge on architecture and different features of HANA DB and HANA on cloud, SLT, SDI (e.g. Hands on experience with calculated columns, Input parameters/Variables, Performance optimization techniques) 2. SAP Analytics SAP BW, SAP BW on HANA, SAP Native HANA, ADSO (Advanced Data Storage Options), CP (Composite Providers), Cube, Routines, DSO, InfoObjects, Multiproviders, Infosets 3. SAP Extractors, ABAP 4. Handson experience of SQL queries, performance optimization, delta/SCD logic and able to handle complex transformation logics. 5. Working on SLT 6. Able to independently handle the ETL activities including loading the data from SAP ECC, third party system to HANA, flat file and other business formats. 7. Understanding of Data Profiling, Data Quality, Data Integrator and platform transformations. 8. Handling SAP BODS, problem definition, Architecture/Design Detailing of Processes. Mandatory skill sets Native HANA, BW on HANA, SLT, SQL Certifications (any one) SAP Native HANA SAP BW on HANA SAP BI7.0 SAP BW3.5 Preferred skill sets Good to have Working knowledge of Python BODS Years of experience required Experience 510 Years Education qualification B.Tech / M.Tech / MCA/MBA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred Required Skills SAP HANA Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more} No

Not Applicable Specialism Data, Analytics & AI & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s Must have Candidates with minimum 5 years of relevant experience for 1012 years of total experience (Architect / Managerial level). Deep expertise with technologies such as Data factory, Data Bricks (Advanced), SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services. Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level) Strong troubleshooting and debugging skills. Proven experience in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines. Experience in writing complex PySpark queries to perform data analysis. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. Mandatory skill sets Azure Databricks, Pyspark, Datafactory Preferred skill sets Azure Databricks, Pyspark, Datafactory, Python, Azure Devops Mandatory skill sets Azure Databricks, Pyspark, Datafactory Preferred skill sets Azure Databricks, Pyspark, Datafactory, Python, Azure Devops Years of experience required 915yrs Education qualification B.Tech / M.Tech / M.E / MCA/B.E Education Degrees/Field of Study required Bachelor of Technology, Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred Required Skills Azure Data Factory, Databricks Platform Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decisionmaking. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Must have 1. SAP Native Hana modelling experience with good knowledge on architecture and different features of HANA DB and HANA on cloud, SLT, SDI (e.g. Hands on experience with calculated columns, Input parameters/Variables, Performance optimization techniques) 2. SAP Analytics SAP BW, SAP BW on HANA, SAP Native HANA, ADSO (Advanced Data Storage Options), CP (Composite Providers), Cube, Routines, DSO, InfoObjects, Multiproviders, Infosets 3. SAP Extractors, ABAP 4. Handson experience of SQL queries, performance optimization, delta/SCD logic and able to handle complex transformation logics. 5. Working on SLT 6. Able to independently handle the ETL activities including loading the data from SAP ECC, third party system to HANA, flat file and other business formats. 7. Understanding of Data Profiling, Data Quality, Data Integrator and platform transformations. 8. Handling SAP BODS, problem definition, Architecture/Design Detailing of Processes. Mandatory skill sets Native HANA, BW on HANA, SLT, SQL Certifications (any one) SAP Native HANA SAP BW on HANA SAP BI7.0 SAP BW3.5 Preferred skill sets Good to have Working knowledge of Python BODS Years of experience required Experience 510 Years Education qualification B.Tech / M.Tech / MCA/MBA Education Degrees/Field of Study required Bachelor of Engineering, Master of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills SAP HANA Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more} No

Not Applicable Specialism Data, Analytics & AI & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s Must have Candidates with minimum 5 years of relevant experience for 1012 years of total experience (Architect / Managerial level). Deep expertise with technologies such as Data factory, Data Bricks (Advanced), SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services. Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level) Strong troubleshooting and debugging skills. Proven experience in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines. Experience in writing complex PySpark queries to perform data analysis. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. Mandatory skill sets Azure Databricks, Pyspark, Datafactory Preferred skill sets Azure Databricks, Pyspark, Datafactory, Python, Azure Devops Mandatory skill sets Azure Databricks, Pyspark, Datafactory Preferred skill sets Azure Databricks, Pyspark, Datafactory, Python, Azure Devops Years of experience required 915yrs Education qualification B.Tech / M.Tech / M.E / MCA/B.E Education Degrees/Field of Study required Master of Engineering, Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred Required Skills Azure Data Box, Databricks Platform Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} Travel Requirements Government Clearance Required?