1103 Dataflow Jobs - Page 17

Area(s) of responsibility Data Engineer – 8 to 10 years Location- All Birlasoft Locations. Job Description Relevant experience in GCP 3+ years Strong experience in data integration with GCP using REST APIs, SQL (preferred Google BigQuery) , Python, GCP (Dataform, Workflow, Dataflow, Cloud Storage, Cloud Data Fusion) Familiarity in developing applications on GCP infrastructure Good to have : Integration of Google My Business, Google Ads & Google Analytics with BigQuery to implement solutions for solving client business problems. Design, develop and deploy data warehouse solutions using different tools, design principles, and conventions. Contribute to project teams and work with all stakeholders responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration. Produce high-quality code resulting from knowledge of the latest frameworks, code peer review, and automated unit test scripts. Collaborate, mentor & guide team members for technical support & guidance, perform peer reviews and monitor their development work to meet project requirements. Participate in project design meetings, daily standups and backlog grooming. Develop, document unit tests and execute all processes and procedures in assigned areas of responsibility. Experience in creating Technical Specification and Data Flow document To be able to clearly articulate pros and cons of various technologies and platforms Good to have experience working with Cloud Functions, PubSub. Familiarity working with DevOps tools, deployment, and orchestration technologies. Strong problem-solving and troubleshooting skills. Strong communicator. Highly adaptable in quickly changing technical environments with strong organizational and analytical skills.

Area(s) of responsibility We’re looking for a GCP Cloud Data & AI Practice Architect to join our team - a practitioner who accelerates outcomes, affects positive change, and moves business forward. Let’s partner. Together, we can accomplish amazing things. Position Overview The GCP Cloud Data & AI Practice Architect possesses 5+ years of experience developing and architecting with GCP solutions and 10+ years in the Machine Learning, Advanced Analytics, Data Engineering and Data Governance. This position is responsible for the development of data and AI solutions utilizing Google Cloud Data services. The candidate must be well versed in multiple cloud platforms and be a motivated technologist with a proven track record of delivering results in software/technology consulting. Responsibilities Technical liaising between customers, development & support teams for Data & AI Lead the design, architecture, and implementation of data pipelines and systems on Google Cloud Platform. This includes leveraging services like BigQuery, Dataflow, Cloud Storage, Vertex AI, Gemini, and others for efficient data ingestion, transformation, and storage. Hands on experience in building proof of concepts (POCs) to actively demonstrate GCP Data and AI stack across several enterprise customers Architect and implement hands Distributed ML, High Volume Data into Google Cloud Participating in architectural discussions to build confidence and ensure customer success when building new and migrating existing applications, software, and services on the GCP platform Conducting deep-dive “hands-on” education/training sessions to transfer knowledge to customers considering, or already using GCP TEKsystems Global Services as the partner of choice for GCP solution implementation Support Sales and Pre-Sales to convert opportunity to revenue through thought leadership Drive consensus across cross functional team to deliver Google Cloud Data & AI engagements Must have skills : GCP , Gen AI , LLM , Big Query, Dataflow, Cloud Storage, Vertex AI,

About Position: We are seeking a highly skilled GCP Data and AI Solution Specialist with over 8 years of experience in pre-sales, solution architecture, and development, specializing in Google Cloud Platform (GCP) technologies. The ideal candidate will hold all relevant Google Cloud certifications and possess expertise in AI agent development, data engineering, and delivering end-to-end cloud-based solutions. This role involves collaborating with cross-functional teams, engaging with clients in pre-sales activities, and designing scalable, innovative data and AI solutions to meet business needs. Role: GCP Data & AI Solution Specialist Location: Delhi/Mumbai/Bangalore Experience: 8+ Yrs. Job Type: Full Time Employment What You'll Do: Solution Design & Architecture: Design and implement scalable, secure, and high-performance data and AI solutions on GCP, leveraging services like BigQuery, Dataflow, Vertex AI, and Cloud AI Platform. Pre-Sales Support: Collaborate with sales teams to develop compelling proposals, presentations, and proof-of-concepts (PoCs) for clients, showcasing GCP’s data and AI capabilities. AI Agent Development: Build and deploy intelligent AI agents using GCP’s AI/ML tools, including natural language processing (NLP), computer vision, and generative AI models. Client Engagement: Act as a trusted advisor to clients, understanding their business requirements and translating them into technical solutions. Development & Implementation: Lead end-to-end development of data pipelines, machine learning models, and AI-driven applications, ensuring alignment with best practices and client expectations. Technical Leadership: Mentor junior team members, provide technical guidance, and stay updated with the latest GCP advancements. Cross-Functional Collaboration: Work with product managers, engineers, and stakeholders to ensure seamless project delivery and integration with existing systems. Optimization & Performance: Optimize data workflows, AI models, and cloud infrastructure for cost-efficiency, scalability, and performance. Compliance & Security: Ensure solutions adhere to industry standards, data privacy regulations, and GCP security best practices. Expertise You'll Bring: Experience: Minimum of 8+ years in pre-sales, solution architecture, and development, with at least 5 years focused on GCP data and AI solutions. Certifications: Must hold relevant Google Cloud certifications, including: Google Cloud Professional Data Engineer . Google Cloud Professional Machine Learning Engineer. Google Cloud Professional Cloud Architect Additional certifications (e.g., Professional Cloud Developer, Professional Cloud DevOps Engineer) are a plus. Technical Skills: Expertise in GCP services: BigQuery, Dataflow, Dataproc, Vertex AI, AI Platform, Cloud Storage, and Pub/Sub. Proficiency in AI/ML frameworks (e.g., TensorFlow, PyTorch) and experience building AI agents (e.g., chatbots, recommendation systems). Strong programming skills in Python, SQL, and Java/Scala for data processing and model development. Experience with data pipeline tools (e.g., Apache Beam, Airflow) and ETL processes. Knowledge of CI/CD pipelines, Kubernetes, and containerization for deploying AI solutions. Pre-Sales Experience : Proven track record in client-facing roles, including creating technical proposals, conducting demos, and leading PoCs. Soft Skills: Excellent communication and presentation skills to articulate complex technical concepts to non-technical stakeholders. Strong problem-solving skills and ability to work in a fast-paced, dynamic environment. Leadership and mentoring capabilities to guide teams and drive project success. Domain Knowledge: Familiarity with industries such as finance, healthcare, retail, or manufacturing is a plus. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description – Business Consultant P&C (Property & Casualty - Personal and Commercial Insurance) Candidate should have experience in working in Property & Casualty lines (both Personal and Commercial Insurance), should be familiar with anyone or more functional process – PC, BC, CC. (Preferred Guidewire/Duckcreek) LOBS Line of Business (Personal and Commercial Lines) : must have Property Auto General Liability Good to have - Casualty Lines Professional Liability, Directors & Officers, Errors & Omissions, EPL, etc Inland Marine, Cargo Workers Compensation Umbrella, Excess Liability Roles and Responsibilities: Worked on multiple Business transformation, upgrade and modernization programs. Requirements Gathering, Elicitation –writing BRDs, FSDs. Conducting JAD sessions and Workshops to capture requirements and working close with Product Owner. Work with the client to define the most optimal future state operational process and related product configuration. Define scope by providing innovative solutions and challenging all new client requirements and change requests but simultaneously ensuring that client gets the required business value. Elaborate and deliver clearly defined requirement documents with relevant dataflow and process flow diagrams. Work closely with product design development team to analyse and extract functional enhancements. Provide product consultancy and assist the client with acceptance criteria gathering and support throughout the project life cycle. Product Experience/Other Skills: Product Knowledge – Guidewire, Duckcreek, Exigent, Majesco. (Preferred Guidewire/Duckcreek) Strong skills in stakeholder management and communication. Should have end to end processes in P&C insurance domain. Should be ready to work in flexible shifts (a good amount of overlap with US/UK hours). Good organizational and time management skills required. Should have good written and verbal communication skills in English. Industry certifications AINS 21 - Property and Liability Insurance Principles, AINS 22 - Personal Insurance, AINS 23 - Commercial Insurance and AINS 24 - General Insurance for IT and Support Professionals will be added advantage. Additional experience in Life or other insurance domain is added advantage. We expect you to work effectively as a team member and build good relationships with the client. You will have the opportunity to expand your domain knowledge and skills and will be able to collaborate frequently with other EY professionals with a wide variety of expertise. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description – Business Consultant P&C (Property & Casualty - Personal and Commercial Insurance) Candidate should have experience in working in Property & Casualty lines (both Personal and Commercial Insurance), should be familiar with anyone or more functional process – PC, BC, CC. (Preferred Guidewire/Duckcreek) LOBS Line of Business (Personal and Commercial Lines) : must have Property Auto General Liability Good to have - Casualty Lines Professional Liability, Directors & Officers, Errors & Omissions, EPL, etc Inland Marine, Cargo Workers Compensation Umbrella, Excess Liability Roles and Responsibilities: Worked on multiple Business transformation, upgrade and modernization programs. Requirements Gathering, Elicitation –writing BRDs, FSDs. Conducting JAD sessions and Workshops to capture requirements and working close with Product Owner. Work with the client to define the most optimal future state operational process and related product configuration. Define scope by providing innovative solutions and challenging all new client requirements and change requests but simultaneously ensuring that client gets the required business value. Elaborate and deliver clearly defined requirement documents with relevant dataflow and process flow diagrams. Work closely with product design development team to analyse and extract functional enhancements. Provide product consultancy and assist the client with acceptance criteria gathering and support throughout the project life cycle. Product Experience/Other Skills: Product Knowledge – Guidewire, Duckcreek, Exigent, Majesco. (Preferred Guidewire/Duckcreek) Strong skills in stakeholder management and communication. Should have end to end processes in P&C insurance domain. Should be ready to work in flexible shifts (a good amount of overlap with US/UK hours). Good organizational and time management skills required. Should have good written and verbal communication skills in English. Industry certifications AINS 21 - Property and Liability Insurance Principles, AINS 22 - Personal Insurance, AINS 23 - Commercial Insurance and AINS 24 - General Insurance for IT and Support Professionals will be added advantage. Additional experience in Life or other insurance domain is added advantage. We expect you to work effectively as a team member and build good relationships with the client. You will have the opportunity to expand your domain knowledge and skills and will be able to collaborate frequently with other EY professionals with a wide variety of expertise. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio Your Role And Responsibilities As an entry level Application Developer at IBM, you'll work with clients to co-create solutions to major real-world challenges by using best practice technologies, tools, techniques, and products to translate system requirements into the design and development of customized systems. In your role, you may be responsible for: Working across the entire system architecture to design, develop, and support high quality, scalable products and interfaces for our clients Collaborate with cross-functional teams to understand requirements and define technical specifications for generative AI projects Employing IBM's Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability Working with a variety of relational databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React, Ember.js, Bootstrap, and JQuery) Creating everything from mockups and UI components to algorithms and data structures as you deliver a viable product Preferred Education Master's Degree Required Technical And Professional Expertise SQL authoring, query, and cost optimisation primarily on Big Query. Python as an object-oriented scripting language. Data pipeline, data streaming and workflow management tools: Dataflow, Pub Sub, Hadoop, spark-streaming… Version control system: GIT & Preferable knowledge of Infrastructure as Code: Terraform. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience performing root cause analysis on internal and external data and processes to answer specific business questions. Preferred Technical And Professional Experience Experience building and optimising data pipelines, architectures and data sets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Working knowledge of message queuing, stream processing, and highly scalable data stores. Experience supporting and working with cross-functional teams in a dynamic environment. We are looking for a candidate with experience in a Data Engineer role, who are also familiar with Google Cloud Platform.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description – Business Consultant P&C (Property & Casualty - Personal and Commercial Insurance) Candidate should have experience in working in Property & Casualty lines (both Personal and Commercial Insurance), should be familiar with anyone or more functional process – PC, BC, CC. (Preferred Guidewire/Duckcreek) LOBS Line of Business (Personal and Commercial Lines) : must have Property Auto General Liability Good to have - Casualty Lines Professional Liability, Directors & Officers, Errors & Omissions, EPL, etc Inland Marine, Cargo Workers Compensation Umbrella, Excess Liability Roles and Responsibilities: Worked on multiple Business transformation, upgrade and modernization programs. Requirements Gathering, Elicitation –writing BRDs, FSDs. Conducting JAD sessions and Workshops to capture requirements and working close with Product Owner. Work with the client to define the most optimal future state operational process and related product configuration. Define scope by providing innovative solutions and challenging all new client requirements and change requests but simultaneously ensuring that client gets the required business value. Elaborate and deliver clearly defined requirement documents with relevant dataflow and process flow diagrams. Work closely with product design development team to analyse and extract functional enhancements. Provide product consultancy and assist the client with acceptance criteria gathering and support throughout the project life cycle. Product Experience/Other Skills: Product Knowledge – Guidewire, Duckcreek, Exigent, Majesco. (Preferred Guidewire/Duckcreek) Strong skills in stakeholder management and communication. Should have end to end processes in P&C insurance domain. Should be ready to work in flexible shifts (a good amount of overlap with US/UK hours). Good organizational and time management skills required. Should have good written and verbal communication skills in English. Industry certifications AINS 21 - Property and Liability Insurance Principles, AINS 22 - Personal Insurance, AINS 23 - Commercial Insurance and AINS 24 - General Insurance for IT and Support Professionals will be added advantage. Additional experience in Life or other insurance domain is added advantage. We expect you to work effectively as a team member and build good relationships with the client. You will have the opportunity to expand your domain knowledge and skills and will be able to collaborate frequently with other EY professionals with a wide variety of expertise. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Role & responsibilities Bachelors in computer science, Engineering, or equivalent experience 7+ years of experience in core JAVA, Spring Framework (Required) 2 years of Cloud experience (GCP, AWS, Azure, GCP preferred ) (Required) Experience in big data processing, on a distributed system. (required) Experience in databases RDBMS, NoSQL databases Cloud natives. (Required) Experience in handling various data formats like Flat file, jSON, Avro, xml etc with defining the schemas and the contracts. (required) Experience in implementing the data pipeline (ETL) using Dataflow( Apache beam) Experience in Microservices and integration patterns of the APIs with data processing. Experience in data structure, defining and designing the data models

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology. What You’ll Do Demonstrate a deep understanding of cloud native, distributed micro service based architectures Deliver solutions for complex business problems through software standard SDLC Build strong relationships with both internal and external stakeholders including product, business and sales partners Demonstrate excellent communication skills with the ability to both simplify complex problems and also dive deeper if needed Build and manage strong technical teams that deliver complex software solutions that scale Manage teams with cross functional skills that include software, quality, reliability engineers, project managers and scrum masters Provide deep troubleshooting skills with the ability to lead and solve production and customer issues under pressure Leverage strong experience in full stack software development and public cloud like GCP and AWS Mentor, coach and develop junior and senior software, quality and reliability engineers Lead with a data/metrics driven mindset with a maniacal focus towards optimizing and creating efficient solutions Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams Collaborate with architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices Drive up-to-date technical documentation including support, end user documentation and run books Lead Sprint planning, Sprint Retrospectives, and other team activity Responsible for implementation architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate What Experience You Need Bachelor's degree or equivalent experience 7+ years of software engineering experience 7+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS 7+ years experience with Cloud technology: GCP, AWS, or Azure 7+ years experience designing and developing cloud-native solutions 7+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes 7+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs What could set you apart Self-starter that identifies/responds to priority shifts with minimal supervision. Strong communication and presentation skills Strong leadership qualities Demonstrated problem solving skills and the ability to resolve conflicts Experience creating and maintaining product and software roadmaps Experience overseeing yearly as well as product/project budgets Working in a highly regulated environment Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others UI development (e.g. HTML, JavaScript, Angular and Bootstrap) Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and Github) Developing with modern JDK (v1.7+) Automated Testing: JUnit, Selenium, LoadRunner, SoapUI We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Who is Equifax? At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology. What You’ll Do Design, develop, and operate high scale applications across the full engineering stack Design, develop, test, deploy, maintain, and improve software. Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.) Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset. Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality. Manage sole project priorities, deadlines, and deliverables. Research, create, and develop software applications to extend and improve on Equifax Solutions Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity What Experience You Need Bachelor's degree or equivalent experience 5+ years of software engineering experience 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS 5+ years experience with Cloud technology: GCP, AWS, or Azure 5+ years experience designing and developing cloud-native solutions 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes 5+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs What could set you apart Self-starter that identifies/responds to priority shifts with minimal supervision. Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others UI development (e.g. HTML, JavaScript, Angular and Bootstrap) Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and Github) Developing with modern JDK (v1.7+) Automated Testing: JUnit, Selenium, LoadRunner, SoapUI We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Who is Equifax? At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Experience in one or more disciplines such as machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence. Preferred qualifications: Understanding of agentic AI/ML and Large Language Model (LLM). Excellent coding skills. About The Job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Responsibilities Manage a team of AI software engineers, fostering a collaborative and high-performing environment. This includes hiring, mentoring, performance management, and career development. Drive the design, development, and deployment of scalable and reliable Artificial Intelligence/Machine Learning (AI/ML) systems and infrastructure relevant to HR applications (e.g., talent acquisition, performance management, employee engagement, workforce planning). Collaborate with Product Managers and HR stakeholders to understand business needs, define product requirements, and translate them into technical specifications and project plans. Oversee the architecture and implementation of data pipelines using Google's data processing infrastructure (e.g., Beam, Dataflow) to support AI/ML initiatives. Stay up-to-date of the latest advancements in AI/ML and related technologies, evaluating their potential application within human resources and guiding the team's adoption of relevant innovations. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: 7 years of experience in software-development with focus on design, development, and deployment of large-scale AI/ML applications. Experience in Python and with AI/ML libraries and frameworks (e.g., TensorFlow, JAX, scikit-learn, Pandas, NumPy). Experience architecting and deploying machine learning models in a cloud environment, with experience on Google Cloud Platform. Experience designing and implementing data processing pipelines using large-scale data engineering tools. Understanding of machine learning algorithms, statistical modeling techniques, and data analysis methodologies. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. We are seeking an experienced Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad. You will be a technical lead, driving the design, development, and deployment of AI-powered solutions that impact Google's employees. This role offers the opportunity to work on Google-scale infrastructure, mentor a team of engineers, collaborate with cross-functional partners, and contribute to the future of HR at Google through AI applications. You will be responsible for translating business challenges and objectives into AI/ML systems. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Responsibilities Lead the technical design and architecture of AI/ML systems and infrastructure within HRE domain, ensuring scalability, reliability, and performance. Drive the development and implementation of advanced AI/ML models and algorithms relevant to HR applications (e.g., talent acquisition, performance management, employee engagement, workforce planning) using various programming languages (e.g., Python) and Google's internal AI/ML platforms and frameworks (built on technologies like TensorFlow, JAX). Architect and oversee the development of data pipelines using Google's data processing infrastructure (e.g., Beam, Dataflow) for large-scale data-ingestion, cleaning, transformation, and feature engineering. Take ownership of deployment, monitoring, and optimization of AI/ML models in Google's production environments, establishing standard procedures for ML Operations within the team. Provide technical leadership and mentorship to other engineers on the team, fostering a culture of technical excellence. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Experience in one or more disciplines: Machine Learning, Recommendation Systems, Natural Language Processing, Computer Vision, Pattern Recognition, or Artificial Intelligence. Preferred qualifications: Understanding of agentic experience/AIML, Large Language Model (LLM), and strong coding skills. About The Job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Responsibilities Lead and manage a team of AI Software Engineers, fostering a collaborative and high-performing environment. This includes hiring, mentoring, performance management, and career development. Drive the design, development, and deployment of scalable and reliable AI/ML systems and infrastructure relevant to HR applications (e.g., talent acquisition, performance management, employee engagement, workforce planning). Collaborate with Product Managers and HR stakeholders to understand business needs, define product requirements, and translate them into technical specifications and project plans. Oversee the architecture and implementation of robust data pipelines using Google's data processing infrastructure (e.g., Beam, Dataflow) to support AI/ML initiatives. Stay abreast of the latest advancements in AI/ML and related technologies, evaluating their potential application within Human Resources and guiding the team's adoption of relevant innovations. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Role We are seeking a highly skilled and motivated Senior Data Engineer with hands-on experience across AWS, Azure, and GCP data ecosystems. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support advanced analytics and real-time data processing. Key Responsibilities Technical Responsibilities Data Pipeline Development : Design and implement robust ETL/ELT pipelines using cloud-native tools. Cloud Expertise : AWS : EMR, Kinesis, Redshift, Glue Azure : HDInsight, Synapse Analytics, Stream Analytics GCP : Cloud Dataproc, Dataflow, Composer Data Modeling : Develop and optimize data models for analytics and reporting. Data Governance : Ensure data quality, security, and compliance across platforms. Automation & Orchestration : Use tools like Apache Airflow, AWS Step Functions, and GCP Composer for workflow orchestration. Monitoring & Optimization : Implement monitoring, logging, and performance tuning for data pipelines. Collaboration & Communication Work closely with data scientists, analysts, and business stakeholders to understand data needs. Translate business requirements into scalable technical solutions. Participate in code reviews, architecture discussions, and agile ceremonies. Required Qualifications Technical Skills Strong programming skills in Python , SQL , and optionally Scala or Java . Deep understanding of distributed computing , data warehousing , and stream processing . Experience with data lake architectures , data mesh , and real-time analytics . Proficiency in CI/CD practices and infrastructure as code (e.g., Terraform, CloudFormation). Certifications (Preferred) AWS Certified Data Analytics – Specialty Microsoft Certified: Azure Data Engineer Associate Google Professional Data Engineer Soft Skills & Attributes Analytical Thinking : Ability to break down complex problems and design scalable solutions. Communication : Strong verbal and written communication skills to explain technical concepts to non-technical stakeholders. Collaboration : Team player with a proactive attitude and the ability to work in cross-functional teams. Adaptability : Comfortable working in a fast-paced, evolving environment with shifting priorities. Ownership : High sense of accountability and a drive to deliver high-quality solutions.

GCP Infrastructure Lead Location: Bangalore, Pune Exp: 6+ Years Responsibilities: 5+ years of demonstrated relevant experience deploying and supporting public cloud Infrastructure (GCP as primary) IaaS and PaaS. Experience in configuring and managing the GCP infrastructure environment components Foundation components – Networking (VPC, VPN, Interconnect, Firewall and Routes), IAM, Folder Structure, Organization Policy, VPC Service Control, Security Command Center etc. Application Components - BigQuery, Cloud Composer, Cloud Storage, Google Kubernetes Engine (GKE), Compute Engine, Cloud SQL, Cloud Monitoring, Dataproc, Data Fusion, Big Table, Dataflow etc. Design and implement Identity and Access Management (IAM) policies, custom roles, and service accounts across GCP projects and organizations. Implement and maintain Workload Identity Federation, IAM Conditions, and least-privilege access models. Integrate Google Cloud audit logs, access logs, and security logs with enterprise SIEM tools (e.g., Splunk, Chronicle, QRadar, or Exabeam). Configure Cloud Logging, Cloud Audit Logs, and Pub/Sub pipelines for log export to SIEM. Collaborate with the Security Operations Center (SOC) to define alerting rules and dashboards based on IAM events and anomalies. Participate in threat modeling and incident response planning involving IAM and access events. Maintain compliance with regulatory and internal security standards (e.g., CIS GCP Benchmark, NIST, ISO 27001). Monitor and report on IAM posture, access drift, and misconfigurations. Support periodic access reviews and identity governance requirements. Required Skills and Abilities: Mandatory Skills – GCP Networking (VPC, Firewall, Routes & VPN),CI/CD Pipelines, Terraform, Shell Scripting/Python Scripting Secondary Skills – Composer, BigQuery, GKE, Dataproc Good To Have - Certifications in any of the following: GCP Professional Cloud Architect, Cloud Devops Engineer, Cloud Security Engineer, Cloud Network Engineer Participate in incident discussions and work with the Team towards resolving platform issues. Good verbal and written communication skills. Ability to communicate with customers, developers, and other stakeholders. Mentor and guide team members Good Presentation skills Strong Team Player About Us: We are a global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation. We have our own products! Eagle – Data warehouse Assessment & Migration Planning Product Raven – Automated Workload Conversion Product Pelican – Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.

Job description: Job Description Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. ͏ Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customer’s business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement ͏ Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy ͏ ͏ Mandatory Skills: Google Cloud Dataflow . Experience: 5-8 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About the Role: Grade Level (for internal use): 12 The Team: As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will spearhead the design and delivery of robust, scalable ML infrastructure and pipelines that power natural language understanding, data extraction, information retrieval, and data sourcing solutions for S&P Global. You will define AI/ML engineering best practices, mentor fellow engineers and data scientists, and drive production-ready AI products from ideation through deployment. You’ll thrive in a (truly) global team that values thoughtful risk-taking and self-initiative. What’s in it for you: Be part of a global company and build solutions at enterprise scale Lead and grow a technically strong ML engineering function Collaborate on and solve high-complexity, high-impact problems Shape the engineering roadmap for emerging AI/ML capabilities (including GenAI integrations) Key Responsibilities: Architect, develop, and maintain production-ready data acquisition, transformation, and ML pipelines (batch & streaming) Serve as a hands-on lead-writing code, conducting reviews, and troubleshooting to extend and operate our data platforms Apply best practices in data modeling, ETL design, and pipeline orchestration using cloud-native solutions Establish CI/CD and MLOps workflows for model training, validation, deployment, monitoring, and rollback Integrate GenAI components-LLM inference endpoints, embedding stores, prompt services-into broader ML systems Mentor and guide engineers and data scientists; foster a culture of craftsmanship and continuous improvement Collaborate with cross-functional stakeholders (Data Science, Product, IT) to align on requirements, timelines, and SLAs What We’re Looking For: 8-12 years' professional software engineering experience with a strong MLOps focus Expert in Python and Apache for large-scale data processing Deep experience deploying and operating ML pipelines on AWS or GCP Hands-on proficiency with container/orchestration tooling Solid understanding of the full ML model lifecycle and CI/CD principles Skilled in streaming and batch ETL design (e.g., Airflow, Dataflow) Strong OOP design patterns, Test-Driven Development, and enterprise system architecture Advanced SQL skills (big-data variants a plus) and comfort with Linux/bash toolsets Familiarity with version control (Git, GitHub, or Azure DevOps) and code review processes Excellent problem-solving, debugging, and performance-tuning abilities Ability to communicate technical change clearly to non-technical audiences Nice to have: Redis, Celery, SQS and Lambda based event driven pipelines Prior work integrating LLM services (OpenAI, Anthropic, etc.) at scale Experience with Apache Avro and Apache Familiarity with Java and/or .NET Core (C#) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH103.2 - Middle Management Tier II (EEO Job Group) Job ID: 317386 Posted On: 2025-06-30 Location: Gurgaon, Haryana, India

Lead Assistant Manager EXL/LAM/1407563 Insurance Property & CasualtiesGurgaon Posted On 30 Jun 2025 End Date 14 Aug 2025 Required Experience 5 - 8 Years Basic Section Number Of Positions 1 Band B2 Band Name Lead Assistant Manager Cost Code D014614 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1200000.0000 - 2200000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Operations Management Sub Group Global Products & Platforms Organization Insurance Property & Casualties LOB Analytics SBU Consulting Country India City Gurgaon Center EXL - Gurgaon Center 38 Skills Skill AZURE AWS Minimum Qualification B.COM Certification No data available Job Description Job Title: Senior Data Engineer – Multi-Cloud (AWS, Azure, GCP) Location: Gurgaon, Haryana (Hybrid/Remote options available) Experience: 5+ years Employment Type: Full-time About the Role We are seeking a highly skilled and motivated Senior Data Engineer with hands-on experience across AWS, Azure, and GCP data ecosystems. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support advanced analytics and real-time data processing. Key Responsibilities Technical Responsibilities Data Pipeline Development : Design and implement robust ETL/ELT pipelines using cloud-native tools. Cloud Expertise : AWS : EMR, Kinesis, Redshift, Glue Azure : HDInsight, Synapse Analytics, Stream Analytics GCP : Cloud Dataproc, Dataflow, Composer Data Modeling : Develop and optimize data models for analytics and reporting. Data Governance : Ensure data quality, security, and compliance across platforms. Automation & Orchestration : Use tools like Apache Airflow, AWS Step Functions, and GCP Composer for workflow orchestration. Monitoring & Optimization : Implement monitoring, logging, and performance tuning for data pipelines. Collaboration & Communication Work closely with data scientists, analysts, and business stakeholders to understand data needs. Translate business requirements into scalable technical solutions. Participate in code reviews, architecture discussions, and agile ceremonies. Required Qualifications Technical Skills Strong programming skills in Python , SQL , and optionally Scala or Java . Deep understanding of distributed computing , data warehousing , and stream processing . Experience with data lake architectures , data mesh , and real-time analytics . Proficiency in CI/CD practices and infrastructure as code (e.g., Terraform, CloudFormation). Certifications (Preferred) AWS Certified Data Analytics – Specialty Microsoft Certified: Azure Data Engineer Associate Google Professional Data Engineer Soft Skills & Attributes Analytical Thinking : Ability to break down complex problems and design scalable solutions. Communication : Strong verbal and written communication skills to explain technical concepts to non-technical stakeholders. Collaboration : Team player with a proactive attitude and the ability to work in cross-functional teams. Adaptability : Comfortable working in a fast-paced, evolving environment with shifting priorities. Ownership : High sense of accountability and a drive to deliver high-quality solutions. Workflow Workflow Type Back Office

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. JD for L&A Business Consultant Working as part of the Consulting team, you will take part in engagements related to a wide range of topics. Some examples of domains in which you will support our clients include the following: Proficient in Individual and Group Life Insurance concepts, different type of Annuity products etc. Proficient in different insurance plans - Qualified/Non-Qualified Plans, IRA, Roth IRA, CRA, SEP Solid knowledge on the Policy Life cycle Illustrations/Quote/Rating New Business & Underwriting Policy Servicing and Administration Billing & Payment Claims Processing Disbursement (Systematic withdrawals, RMD, Surrenders) Regulatory Changes & Taxation Understanding of business rules of Pay-out Understanding on upstream and downstream interfaces for policy lifecycle Experience in DXC Platforms – Vantage, wmA, nbA, CSA, Cyber-life, Life70, Life Asia, PerformancePlus Consulting Skills – Experience in creating business process map for future state architecture, creating WBS for overall conversion strategy, requirement refinement process in multi-vendor engagement. Requirements Gathering, Elicitation –writing BRDs, FSDs. Conducting JAD sessions and Workshops to capture requirements and working close with Product Owner. Work with the client to define the most optimal future state operational process and related product configuration. Define scope by providing innovative solutions and challenging all new client requirements and change requests but simultaneously ensuring that client gets the required business value. Elaborate and deliver clearly defined requirement documents with relevant dataflow and process flow diagrams. Work closely with product design development team to analyse and extract functional enhancements. Provide product consultancy and assist the client with acceptance criteria gathering and support throughout the project life cycle. Technology Skills - Experienced in data migration projects, ensuring seamless transfer of data between systems while maintaining data integrity and security. Skilled in data analytics, utilizing various tools and techniques to extract insights and drive informed decision-making. Strong understanding of data governance principles and best practices, ensuring data quality and compliance. Collaborative team player, able to work closely with stakeholders and technical teams to define requirements and implement effective solutions. Industry certifications (AAPA/LOMA) will be added advantage. Experience on these COTS product is preferrable. FAST ALIP OIPA wmA We expect you to work effectively as a team member and build good relationships with the client. You will have the opportunity to expand your domain knowledge and skills and will be able to collaborate frequently with other EY professionals with a wide variety of expertise. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. JD for L&A Business Consultant Working as part of the Consulting team, you will take part in engagements related to a wide range of topics. Some examples of domains in which you will support our clients include the following: Proficient in Individual and Group Life Insurance concepts, different type of Annuity products etc. Proficient in different insurance plans - Qualified/Non-Qualified Plans, IRA, Roth IRA, CRA, SEP Solid knowledge on the Policy Life cycle Illustrations/Quote/Rating New Business & Underwriting Policy Servicing and Administration Billing & Payment Claims Processing Disbursement (Systematic withdrawals, RMD, Surrenders) Regulatory Changes & Taxation Understanding of business rules of Pay-out Understanding on upstream and downstream interfaces for policy lifecycle Experience in DXC Platforms – Vantage, wmA, nbA, CSA, Cyber-life, Life70, Life Asia, PerformancePlus Consulting Skills – Experience in creating business process map for future state architecture, creating WBS for overall conversion strategy, requirement refinement process in multi-vendor engagement. Requirements Gathering, Elicitation –writing BRDs, FSDs. Conducting JAD sessions and Workshops to capture requirements and working close with Product Owner. Work with the client to define the most optimal future state operational process and related product configuration. Define scope by providing innovative solutions and challenging all new client requirements and change requests but simultaneously ensuring that client gets the required business value. Elaborate and deliver clearly defined requirement documents with relevant dataflow and process flow diagrams. Work closely with product design development team to analyse and extract functional enhancements. Provide product consultancy and assist the client with acceptance criteria gathering and support throughout the project life cycle. Technology Skills - Experienced in data migration projects, ensuring seamless transfer of data between systems while maintaining data integrity and security. Skilled in data analytics, utilizing various tools and techniques to extract insights and drive informed decision-making. Strong understanding of data governance principles and best practices, ensuring data quality and compliance. Collaborative team player, able to work closely with stakeholders and technical teams to define requirements and implement effective solutions. Industry certifications (AAPA/LOMA) will be added advantage. Experience on these COTS product is preferrable. FAST ALIP OIPA wmA We expect you to work effectively as a team member and build good relationships with the client. You will have the opportunity to expand your domain knowledge and skills and will be able to collaborate frequently with other EY professionals with a wide variety of expertise. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. JD for L&A Business Consultant Working as part of the Consulting team, you will take part in engagements related to a wide range of topics. Some examples of domains in which you will support our clients include the following: Proficient in Individual and Group Life Insurance concepts, different type of Annuity products etc. Proficient in different insurance plans - Qualified/Non-Qualified Plans, IRA, Roth IRA, CRA, SEP Solid knowledge on the Policy Life cycle Illustrations/Quote/Rating New Business & Underwriting Policy Servicing and Administration Billing & Payment Claims Processing Disbursement (Systematic withdrawals, RMD, Surrenders) Regulatory Changes & Taxation Understanding of business rules of Pay-out Understanding on upstream and downstream interfaces for policy lifecycle Experience in DXC Platforms – Vantage, wmA, nbA, CSA, Cyber-life, Life70, Life Asia, PerformancePlus Consulting Skills – Experience in creating business process map for future state architecture, creating WBS for overall conversion strategy, requirement refinement process in multi-vendor engagement. Requirements Gathering, Elicitation –writing BRDs, FSDs. Conducting JAD sessions and Workshops to capture requirements and working close with Product Owner. Work with the client to define the most optimal future state operational process and related product configuration. Define scope by providing innovative solutions and challenging all new client requirements and change requests but simultaneously ensuring that client gets the required business value. Elaborate and deliver clearly defined requirement documents with relevant dataflow and process flow diagrams. Work closely with product design development team to analyse and extract functional enhancements. Provide product consultancy and assist the client with acceptance criteria gathering and support throughout the project life cycle. Technology Skills - Experienced in data migration projects, ensuring seamless transfer of data between systems while maintaining data integrity and security. Skilled in data analytics, utilizing various tools and techniques to extract insights and drive informed decision-making. Strong understanding of data governance principles and best practices, ensuring data quality and compliance. Collaborative team player, able to work closely with stakeholders and technical teams to define requirements and implement effective solutions. Industry certifications (AAPA/LOMA) will be added advantage. Experience on these COTS product is preferrable. FAST ALIP OIPA wmA We expect you to work effectively as a team member and build good relationships with the client. You will have the opportunity to expand your domain knowledge and skills and will be able to collaborate frequently with other EY professionals with a wide variety of expertise. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. JD for L&A Business Consultant Working as part of the Consulting team, you will take part in engagements related to a wide range of topics. Some examples of domains in which you will support our clients include the following: Proficient in Individual and Group Life Insurance concepts, different type of Annuity products etc. Proficient in different insurance plans - Qualified/Non-Qualified Plans, IRA, Roth IRA, CRA, SEP Solid knowledge on the Policy Life cycle Illustrations/Quote/Rating New Business & Underwriting Policy Servicing and Administration Billing & Payment Claims Processing Disbursement (Systematic withdrawals, RMD, Surrenders) Regulatory Changes & Taxation Understanding of business rules of Pay-out Understanding on upstream and downstream interfaces for policy lifecycle Experience in DXC Platforms – Vantage, wmA, nbA, CSA, Cyber-life, Life70, Life Asia, PerformancePlus Consulting Skills – Experience in creating business process map for future state architecture, creating WBS for overall conversion strategy, requirement refinement process in multi-vendor engagement. Requirements Gathering, Elicitation –writing BRDs, FSDs. Conducting JAD sessions and Workshops to capture requirements and working close with Product Owner. Work with the client to define the most optimal future state operational process and related product configuration. Define scope by providing innovative solutions and challenging all new client requirements and change requests but simultaneously ensuring that client gets the required business value. Elaborate and deliver clearly defined requirement documents with relevant dataflow and process flow diagrams. Work closely with product design development team to analyse and extract functional enhancements. Provide product consultancy and assist the client with acceptance criteria gathering and support throughout the project life cycle. Technology Skills - Experienced in data migration projects, ensuring seamless transfer of data between systems while maintaining data integrity and security. Skilled in data analytics, utilizing various tools and techniques to extract insights and drive informed decision-making. Strong understanding of data governance principles and best practices, ensuring data quality and compliance. Collaborative team player, able to work closely with stakeholders and technical teams to define requirements and implement effective solutions. Industry certifications (AAPA/LOMA) will be added advantage. Experience on these COTS product is preferrable. FAST ALIP OIPA wmA We expect you to work effectively as a team member and build good relationships with the client. You will have the opportunity to expand your domain knowledge and skills and will be able to collaborate frequently with other EY professionals with a wide variety of expertise. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Role Description We are recruiting Data Engineers with strong technical ability who can articulate well to non-tech audience, who will join our team on a permanent basis. Role: The Data Engineer will engage with external Clients and internal customers, understand their needs, and design, build, and maintain data pipelines and infrastructure using Google Cloud Platform (GCP). This will involve the design and implementation of scalable data architectures, ETL processes, and data warehousing solutions on GCP. The role requires expertise in big data technologies, cloud computing, and data integration, as well as the ability to optimize data systems for performance and reliability. This requires a blend of skills including programming, database management, cloud infrastructure, and data pipeline development. Additionally, problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are valuable traits. You will frequently work as part of a scrum team, together with data scientists, ML engineers, and analyst developers, to design and implement robust data infrastructure that supports analytics and machine learning initiatives. Responsibilities Design, build, and maintain scalable data pipelines and ETL processes using GCP services such as Cloud Dataflow, Cloud Dataproc, and BigQuery. Implement and optimize data storage solutions using GCP technologies like Cloud Storage, Cloud SQL, and Cloud Spanner. Develop and maintain data warehouses and data lakes on GCP, ensuring data quality, accessibility, and security. Collaborate with data scientists and analysts to understand data requirements and provide efficient data access solutions. Implement data governance and security measures to ensure compliance with regulations and best practices. Automate data workflows and implement monitoring and ing systems for data pipelines. Sharing data engineering knowledge with the wider functions and developing reusable data integration patterns and best practices. Skills/Experience BSc/MSc in Computer Science, Information Systems, or related field, or equivalent work experience. Proven experience (6+ years) as a Data Engineer or similar role, preferably with GCP expertise. Strong proficiency in SQL and experience with NoSQL databases. Expertise in data modeling, ETL processes, and data warehousing concepts. Significant experience with GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub. Proficiency in at least one programming language (e.g., Python, Java, or Scala) for data pipeline development. Experience with big data technologies such as Hadoop, Spark, and Kafka. Knowledge of data governance, security, and compliance best practices. GCP certifications (e.g., Professional Data Engineer) are highly advantageous. Effective communication skills to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders. Skills Bigquery,ETL,Data Management,Python

Roles And Responsibilities Contributing to designing cloud architectures and integration modules for enterprise-level systems. Managing and mentoring the technical team and ensuring quality delivery of solutions as per the process Lead engagements with partners and customers, including stakeholder management, requirements gathering, and designing solutions along with development and delivery. Collaborate with Program Management, Engineering, User Experience, and Product teams to identify gaps and work with cross-functional teams to design solutions. Essential Skills Experience developing and managing scalable, high-performance production systems. Some experience working in Artificial Intelligence (AI) or RPA Developing, designing, and maintaining high-quality production applications written in NodeJS or Python, data structures, ML algorithms, and software design. Experience with complex API integrations and application development modules. Strong skills in designing database schema; both SQL and NoSQL databases. Experience with any cloud technologies like GCP/AWS/Azure leveraging serverless architectures and technologies like Cloud functions, AWS Lambda, Google Dataflow, Google Pub/Sub etc Design, build, manage and operate the continuous delivery framework and tools, and act as a subject matter expert on CI/CD for developer teams. Fullstack development background with experience on Front-end – Angular / jQuery or any JS frameworks Should possess strong problem-solving ability. The ability or potential to multitask, and prioritize. Experience in Test Driven Development & Agile methodologies. Good communication skills. Experience using tools like Git and Jira. Confluence is a plus. A team player who can collaborate with all stakeholders with strong interpersonal skills. Self-starter with a drive to technically mentor your cohort of developers Good To Have Experience in designing reusable and scalable architecture for cloud applications Experience in managing the design and production implementation of chat and voice bots Exposure to developing, maintaining, and monitoring microservices Experience in one or more: chat/voice bot development, machine learning, Natural Language Processing (NLP), and contact center technologies. Application Security

Job description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist In this role, you will: Design and Develop ETL Processes: Lead the design and implementation of ETL processes using all kinds of batch/streaming tools to extract, transform, and load data from various sources into GCP. Collaborate with stakeholders to gather requirements and ensure that ETL solutions meet business needs. Data Pipeline Optimization: Optimize data pipelines for performance, scalability, and reliability, ensuring efficient data processing workflows. Monitor and troubleshoot ETL processes, proactively addressing issues and bottlenecks. Data Integration and Management: Integrate data from diverse sources, including databases, APIs, and flat files, ensuring data quality and consistency. Manage and maintain data storage solutions in GCP (e.g., BigQuery, Cloud Storage) to support analytics and reporting. GCP Dataflow Development: Write Apache Beam based Dataflow Job for data extraction, transformation, and analysis, ensuring optimal performance and accuracy. Collaborate with data analysts and data scientists to prepare data for analysis and reporting. Automation and Monitoring: Implement automation for ETL workflows using tools like Apache Airflow or Cloud Composer, enhancing efficiency and reducing manual intervention. Set up monitoring and alerting mechanisms to ensure the health of data pipelines and compliance with SLAs. Data Governance and Security: Apply best practices for data governance, ensuring compliance with industry regulations (e.g., GDPR, HIPAA) and internal policies. Collaborate with security teams to implement data protection measures and address vulnerabilities. Documentation and Knowledge Sharing: Document ETL processes, data models, and architecture to facilitate knowledge sharing and onboarding of new team members. Conduct training sessions and workshops to share expertise and promote best practices within the team. Requirements To be successful in this role, you should meet the following requirements: Experience: Minimum of 5 years of industry experience in data engineering or ETL development, with a strong focus on Data Stage and GCP. Proven experience in designing and managing ETL solutions, including data modeling, data warehousing, and SQL development. Technical Skills: Strong knowledge of GCP services (e.g., BigQuery, Dataflow, Cloud Storage, Pub/Sub) and their application in data engineering. Experience of cloud-based solutions, especially in GCP, cloud certified candidate is preferred. Experience and knowledge of Bigdata data processing in batch mode and streaming mode, proficient in Bigdata eco systems, e.g. Hadoop, HBase, Hive, MapReduce, Kafka, Flink, Spark, etc. Familiarity with Java & Python for data manipulation on Cloud/Bigdata platform. Analytical Skills: Strong problem-solving skills with a keen attention to detail. Ability to analyze complex data sets and derive meaningful insights. You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India