15027 Spark Jobs - Page 29

Integration Consultant – o9 Key Responsibilities Play the integration consultant role on o9 implementation projects. Understand o9 platform’s data model (table structures, linkages, pipelines, optimal designs) for designing various planning use cases. Review and analyze the data provided by customer along with its technical/functional intent and inter-dependencies. Participate in the technical design, data requirements gathering, making recommendations in case of inaccurate or missing data. Work on designing and creating batch schedules based on frequency and configuration settings for daily/weekly/quarterly/yearly batches. E2E integration implementation from partner system to o9 platform. Technical Experience Must have experience on SQL, PySpark, Python, Spark SQL and ETL tools. Proficiency in database (SQL Server, Oracle etc ). Knowledge of DDL, DML, stored procedures. At least one E2E o9 integration implementation experience is required. Good to have experience in Airflow, Dalta Lake, Nifi, Kafka. Any API based integration experience will be added advantage. Professional Attributes Proven ability to work creatively and analytically in a problem-solving environment. Proven ability to build, manage and foster a team-oriented environment. Excellent problem-solving skills with excellent communication written/oral, interpersonal skills. Strong collaborator- team player- and individual contributor. Educational Qualification BE/BTech/MCA/Bachelor's degree/master’s degree in computer science and related fields of work are preferred. Skills: airflow,sql server,spark sql,o9 platform,pyspark,e2e,api,kafka,integration,python,communication,case,data,sql,skills,computer science,etl tools,api based integration,oracle

Integration Consultant – o9 Key Responsibilities Play the integration consultant role on o9 implementation projects. Understand o9 platform’s data model (table structures, linkages, pipelines, optimal designs) for designing various planning use cases. Review and analyze the data provided by customer along with its technical/functional intent and inter-dependencies. Participate in the technical design, data requirements gathering, making recommendations in case of inaccurate or missing data. Work on designing and creating batch schedules based on frequency and configuration settings for daily/weekly/quarterly/yearly batches. E2E integration implementation from partner system to o9 platform. Technical Experience Must have experience on SQL, PySpark, Python, Spark SQL and ETL tools. Proficiency in database (SQL Server, Oracle etc ). Knowledge of DDL, DML, stored procedures. At least one E2E o9 integration implementation experience is required. Good to have experience in Airflow, Dalta Lake, Nifi, Kafka. Any API based integration experience will be added advantage. Professional Attributes Proven ability to work creatively and analytically in a problem-solving environment. Proven ability to build, manage and foster a team-oriented environment. Excellent problem-solving skills with excellent communication written/oral, interpersonal skills. Strong collaborator- team player- and individual contributor. Educational Qualification BE/BTech/MCA/Bachelor's degree/master’s degree in computer science and related fields of work are preferred. Skills: airflow,sql server,spark sql,o9 platform,pyspark,e2e,api,kafka,integration,python,communication,case,data,sql,skills,computer science,etl tools,api based integration,oracle

Integration Consultant – o9 Key Responsibilities Play the integration consultant role on o9 implementation projects. Understand o9 platform’s data model (table structures, linkages, pipelines, optimal designs) for designing various planning use cases. Review and analyze the data provided by customer along with its technical/functional intent and inter-dependencies. Participate in the technical design, data requirements gathering, making recommendations in case of inaccurate or missing data. Work on designing and creating batch schedules based on frequency and configuration settings for daily/weekly/quarterly/yearly batches. E2E integration implementation from partner system to o9 platform. Technical Experience Must have experience on SQL, PySpark, Python, Spark SQL and ETL tools. Proficiency in database (SQL Server, Oracle etc ). Knowledge of DDL, DML, stored procedures. At least one E2E o9 integration implementation experience is required. Good to have experience in Airflow, Dalta Lake, Nifi, Kafka. Any API based integration experience will be added advantage. Professional Attributes Proven ability to work creatively and analytically in a problem-solving environment. Proven ability to build, manage and foster a team-oriented environment. Excellent problem-solving skills with excellent communication written/oral, interpersonal skills. Strong collaborator- team player- and individual contributor. Educational Qualification BE/BTech/MCA/Bachelor's degree/master’s degree in computer science and related fields of work are preferred. Skills: airflow,sql server,spark sql,o9 platform,pyspark,e2e,api,kafka,integration,python,communication,case,data,sql,skills,computer science,etl tools,api based integration,oracle

Total yrs of exp: 7+ yrs Balewadi,Pune Location Immediate to 30 Days only Responsibilities - Overall 6+ years of experience, out of which in 5+ in AI, ML and Gen AI and related technologies Proven track record of leading and scaling AI/ML teams and initiatives Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications Expertise in ML frameworks such as PyTorch and/or TensorFlow Experience with ONNX runtime, model optimization and hyperparameter tuning Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack Experience in production-level deployment of AI models at enterprise scale Proficiency in data preprocessing, feature engineering, and large-scale data handling Expertise in image and video processing, object detection, image segmentation, and related CV tasks Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications Experience with speech recognition, audio classification, and general signal processing techniques Experience with RAG, VectorDB, GraphDB and Knowledge Graphs Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI) Qualifications - [Education details] Required Skills Strong leadership and team management skills Excellent verbal and written communication skills Strategic thinking and problem-solving abilities Adaptability and adapting to the rapidly evolving AI/ML landscape Strong collaboration and interpersonal skills Ability to translate market needs into technological solutions Strong understanding of industry dynamics and ability to translate market needs into technological solutions Demonstrated ability to foster a culture of innovation and creative problem-solving Preferred Skills Pay range and compensation package - [Pay range or salary or compensation] Equal Opportunity Statement - [Include a statement on commitment to diversity and inclusivity.]

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

As a Data Scientist in the Automotive industry, you will be responsible for leveraging your expertise in computer science, Data Science, Statistics, or related fields to drive impactful insights and solutions. With a minimum of 6 years of hands-on experience in data science and analytics, you will bring a deep understanding of various programming tools such as Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch to the table. Your role will involve working with big data tools like Spark, AWS/GCP data pipelines, or similar platforms to extract valuable information from complex datasets. An in-depth understanding of time-series data, signal processing, and Machine Learning for spatiotemporal datasets will be essential for this position. Experience with connected vehicle data or telemetry from trucks/autonomous systems will be highly advantageous in this role. Additionally, familiarity with vehicle dynamics, CAN data decoding, or driver behavior modeling will be considered a plus. Your proficiency in SQL and data visualization tools such as Tableau, PowerBI, Plotly, etc., will enable you to communicate your findings effectively to stakeholders. This position offers a unique opportunity to apply your skills in a remote setting for a contract duration of 12 months. If you are passionate about data science, have a keen eye for detail, and enjoy tackling complex challenges in the Automotive industry, we invite you to apply for this exciting opportunity.,

Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. Leveraging AI technology, we discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform encompasses creative strategy and execution. With over 14 years of experience in the industry, we manage 5 million mobile ad requests per second from over 10 billion devices, driving performance for publishers and brands. Headquartered in San Francisco, CA, we have a global presence across the United States, EMEA, and APAC. We are looking for a motivated and detail-oriented Applied Scientist to join our team. As an Applied Scientist, you will play a key role in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). Collaborating closely with senior research scientists and other team members, you will contribute to impactful data science projects and innovative solutions. This position is based in our Bengaluru, India office and requires on-site presence five days a week. Join us in our mission to push the boundaries of AI and mobile advertising in a collaborative environment that nurtures creativity and growth. We offer a competitive salary, comprehensive benefits, and ample opportunities for career advancement. **Role & Responsibilities:** - Develop and deploy machine learning models at scale to tackle challenges in programmatic advertising like user response prediction, bid landscape forecasting, and fraud detection. - Conduct exploratory data analysis and apply statistical techniques to derive insights and support decision-making. - Build and maintain data pipelines to ensure efficient processing and integration of large-scale data for model training and evaluation. - Collaborate with senior data scientists and cross-functional teams to integrate models into production systems and applications. - Assist in establishing best practices for model deployment, monitoring, and performance assessment. - Stay abreast of recent developments in machine learning and data science, applying relevant techniques to solve complex problems and enhance our platform. - Contribute to exploring and adopting new methodologies and technologies to advance our data science capabilities. **Skills & Experience:** - Minimum of six years in data science with practical experience in machine learning, statistical analysis, and data modeling. - Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field. Master's degree is a plus. - Additional proficiency in programming languages like Rust, C++, Java, and Scala, as well as large-scale data processing systems is preferred. - Familiarity with RTB, auction theory, and high-throughput low-latency environments is advantageous. - Strong proficiency in machine learning techniques such as regression, classification, and clustering. Experience with Python and libraries like Scikit-Learn, TensorFlow/PyTorch. - Proficiency in Python and SQL, familiarity with Spark, and experience with TensorFlow/PyTorch and Scikit-Learn libraries. - Solid understanding of probability, statistics, and data analysis. - Ability to work effectively within a team environment, with excellent communication skills to articulate complex concepts to diverse stakeholders.,

As a Senior Software Engineer Java at SAP, you will be a key member of the App2App Integration team within SAP Business Data Cloud. Your primary focus will be to accelerate the integration of SAP's application ecosystem with its unified data fabric, facilitating low-latency, secure, and scalable data exchange processes. Your responsibilities will include designing and developing core integration frameworks using Java, RESTful APIs, and messaging frameworks like Apache Kafka. You will also be tasked with building and maintaining scalable data processing and ETL pipelines that support real-time and batch data flows. Additionally, you will work on integrating data engineering workflows with tools such as Databricks, Spark, or other cloud-based processing platforms to enhance data processing capabilities. In this role, you will play a critical part in driving the evolution of SAP's App2App integration capabilities by identifying reusable patterns, promoting platform automation, and establishing best practices. Collaboration with cross-functional teams will be essential to ensure secure, reliable, and performant communication across SAP applications. To excel in this position, you should hold a Bachelors or Masters degree in Computer Science, Software Engineering, or a related field, along with a minimum of 8 years of hands-on experience in backend development using Java. Strong object-oriented design skills and integration patterns are crucial for success in this role. Experience with building ETL pipelines, working with large-scale data processing frameworks, and familiarity with tools like Databricks, Apache Spark, or cloud-native data platforms will be advantageous. You will also be expected to have knowledge of SAP Business Technology Platform (BTP), SAP Datasphere, SAP Analytics Cloud, or HANA. Experience in designing CI/CD pipelines, containerization (Docker), Kubernetes, and DevOps best practices will further strengthen your profile. A working understanding of Hyperscaler environments such as AWS, Azure, or GCP is desirable. Your passion for clean code, automated testing, performance tuning, and continuous improvement will be highly valued in this role. Effective communication skills and the ability to collaborate with global teams across different time zones are essential for success. Join us at SAP, a market leader in enterprise application software, and be part of the Business Data Cloud (BDC) organization. As a member of the Foundation Services team in Bangalore, India, you will contribute to cutting-edge engineering efforts in a collaborative, inclusive, and high-impact environment that drives innovation and integration across SAP's data platforms. At SAP, we believe in unleashing all talent and creating a better and more equitable world.,

As a member of the Enterprise Data Platform (EDP) team at Macquarie, you will have a crucial role in managing Macquarie's Corporate Data Platform. The businesses relying on this platform for various purposes such as data science, self-service analytics, operational analytics, and reporting will benefit from your contributions. At Macquarie, we believe in the strength of diversity and empowering individuals to explore a myriad of possibilities. Operating globally in 31 markets with 56 years of unbroken profitability, we foster a collaborative environment where every team member's ideas are valued, regardless of their role. In your position, you will be responsible for driving the delivery of essential platform capabilities utilizing AWS and Kubernetes. Your role will involve fostering collaboration, ensuring platform stability, defining technical roadmaps, leading architectural decisions, and designing, developing, and deploying new features for Macquarie's Corporate Data Hub Platform. Furthermore, you will work on enhancing automation, CI/CD pipelines, and monitoring practices while advocating for security, compliance, and risk management within the platform. To excel in this role, you should possess: - 7+ years of enterprise experience as a Cloud/DevOps/Data Engineer, with leadership responsibilities - Proficiency in AWS cloud platforms, Kubernetes, and Big Data processing technologies (e.g., Hive, Spark, Starburst Presto) - Strong scripting skills in Python, Bash, and experience in Agile/DevOps environments - Extensive architectural and design pattern knowledge, with a track record of building consensus and driving technical decisions - A proactive approach towards ensuring production stability, managing costs, and implementing platform improvements If you are enthusiastic about contributing to a better future and interested in a role at Macquarie, we welcome your application. About Technology: Technology plays a pivotal role in every aspect of Macquarie, supporting our people, customers, and communities. We are a global team dedicated to accelerating the digital enterprise, fostering connections between people and data, building innovative platforms and applications, and shaping tomorrow's technology solutions. Our Commitment to Diversity, Equity, and Inclusion: At Macquarie, we are dedicated to providing reasonable adjustments to individuals who may require support during the recruitment process and in their working arrangements. If you need additional assistance, please inform us during the application process.,

As the AVP-AI/ML Lead, your primary responsibility will be to develop innovative AI/ML solutions that cater to the specific business requirements and challenges faced by our clients. This will involve successfully managing project delivery, including data pre-processing, model training and evaluation, and parameter tuning, while ensuring stakeholder and customer expectations are met. You will be responsible for project blue printing, project documentation, and creating detailed project plans. It will also be crucial for you to stay updated on the latest advancements in AI/ML, particularly in the areas of NLP/NLU applications across various industries such as CPG and Finance. In this role, you will need to conceptualize, design, build, and implement solution algorithms within specified timelines. You will collaborate with clients to gather and analyze requirements, as well as develop effective analytics and text mining strategies. Working closely with digital development teams, you will integrate and optimize algorithms to create production-ready applications. Additionally, conducting applied research on diverse text analytics and machine learning projects, filing patents, and publishing papers will be part of your responsibilities. Preferred qualifications and skills for this role include expert knowledge in NLP, NLU, and various machine learning and deep learning methods. Proficiency in tools such as OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and NoSQL is essential. Experience in UI development for text mining insights visualization using platforms like Adobe Flex Builder, HTML5, and CSS3 is advantageous. Furthermore, familiarity with operating systems like Linux and Windows, GPU experience, and proficiency in distributed computing tools like Spark and Scala are desired. Knowledge of deep learning frameworks such as TensorFlow, Keras, Torch, and Theano will be beneficial in executing your responsibilities effectively.,

Job Description Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & Analytics. As part of this organization, the candidate will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. The organization is constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. We are seeking a Software Developer with responsibilities for development, debugging to identify root cause, support and release activities for our service platforms. You will be part of a Dev/Ops team within the Operations Engineering & Analytics (OEA) group. Our enterprise services span on-premise and cloud environments with a heavy focus on data collection, processing and analytics leveraging various cloud services and languages such as Python and SQL. As you build your knowledge in this role, you will have opportunities to share outside your immediate team through mentorship, coaching, technical talks and blogs. Minimum Qualifications: Bachelor's degree in Computer Science (CS), Computer Engineering, CIS, MIS, IS, Software Engineering or related area, or equivalent work experience 5+ years software development experience 3+ years software development experience with Java, Python or Scala 3+ year hands experience with Data Ingestion, Data Orchestration on Cloud Data Platforms such as Oracle Cloud Infrastructure or Microsoft Azure 3+ years experience with Big Data Technologies (i.e. Spark, Hadoop, Map/Reduce, Kafka) 3+ years of CI/CD pipeline (Jenkins, Git,...etc.) Preferred Qualifications: Experience with the Agile development methodology OCI/MSCP certification, Oracle RDBMS, Oracle SQL, Oracle Cloud services etc. Experience in SaaS solutions Experience in Big data Technologies Good communication skills Interest in, and a passion for data analysis, data management and AI/ML Excellent written and verbal communication skills Ability and willingness to: Work directly with key business users and stakeholders to gather requirements for integrations Communicate effectively with diverse people and individuals at various levels within the organization Evaluate, communicate and coordinate the technical impacts of application configuration decisions Career Level : IC3 Responsibilities Architecture and development tasks such as prototyping new services and workloads within the Microsoft Azure cloud computing environment and Oracle Cloud Infrastructure Platform to meet business data analysis needs and requirements for OEA's internal business stakeholders and consumers. The Software Developer IC3 must have SQL, Java, Python, and/or C# programming and experience in big data technologies (OCI, Hadoop, HDFS, Hbase, Map/Reduce, Java, Scala, Apache Kafka, and Apache Spark is preferred.) The ideal candidate is responsible for: Analyzing data requirements and data sources to identify ingestion and integration methods for consolidation and cataloging of data into the CMS. Identifying process improvements at the team level to support operations and development ecosystem. Collaborating on component level technical designs to help derive additional value from our solutions thus benefitting our business stakeholders that rely upon the data for daily business operations. Creating clear, well-constructed designs and documentation for medium to moderate scope stories. Writing code and supporting the services we manage. May also participate in architecture discussions, design sessions and code reviews with other associates that help ensure maintainability, application security and performance. Should be able to coach/mentor junior members technically as well as functionally. Act as a primary contributor in code reviews, and provide feedback on solution level performance improvements. As a member of the team, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems. Ability to work overtime and participate in an on-call rotation if/when required. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an 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 and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Job Description As a Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution by using Data, Analytics & Insights Skills. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Review your work and that of others for quality, accuracy, and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good Team player. Take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements: Required Skills: Primary Skill: Tableau, Visualization, Excel Secondary Skill: Power BI, Cognos, Qlik, SQL, Python, Advance Excel, Excel Macro BI Engineer: Should have minimum 2 year’s hand on experience building advanced Data Analytics Should have minimum 2 years’ hands on Experience of delivering Managed Data and Analytics programs (Managed services and Managed assets) Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modeling, Data scientists etc. Should have experience in building efficient Data analytics by using leading industry tools like Python, SQL, Spark, etc. Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools. Should have good knowledge of Data consumption patterns and BI tools like Tableau, Qlik sense, Power BI etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice to have: Certifications in Tableau and other BI tools is an added advantage. Certification in any cloud platform Managed Services- Data, Analytics & Insights At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights Managed Service where we focus more so on the evolution of our clients’ Data, Analytics, Insights and cloud portfolio. Our focus is to empower our clients to navigate and capture the value of their application portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Application Evolution Service offerings and engagement including help desk support, enhancement and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. You are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt, take ownership and consistently deliver quality work that drives value for our clients and success as a team. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Role: Specialist Tower: Data Analytics & Insights Managed Service Experience: 1 - 3 years Key Skills: Data Engineering Educational Qualification: Bachelor's degree in computer science/IT or relevant field Work Location: Bangalore, India Job Description As a Specialist, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution by using Data, Analytics & Insights Skills. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Review your work and that of others for quality, accuracy, and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good Team player. Take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements Required Skills: Primary Skill: ETL/ELT, SQL, Informatica, Python Secondary Skill: Azure/AWS/GCP, Talend, DataStage, etc. Data Engineer Should have minimum 1 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, SSIS, SSRS, AWS, Azure, ADF, GCP, Snowflake, Spark, SQL, Python etc. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice To Have Certifications in Cloud Technology is an added advantage. Experience in Visualization tools like Power BI, Tableau, Qlik, etc. Managed Services- Data, Analytics & Insights At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights Managed Service where we focus more so on the evolution of our clients’ Data, Analytics, Insights and cloud portfolio. Our focus is to empower our clients to navigate and capture the value of their application portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Application Evolution Service offerings and engagement including help desk support, enhancement and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. You are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt, take ownership and consistently deliver quality work that drives value for our clients and success as a team. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Role: Specialist Tower: Data Analytics & Insights Managed Service Experience: 0.6 - 2.0 years Key Skills: BI Engineering Educational Qualification: Bachelor's degree in computer science/IT or relevant field Work Location: Bangalore, India Job Description As a Specialist, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution by using Data, Analytics & Insights Skills. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Review your work and that of others for quality, accuracy, and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good Team player. Take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements: Required Skills: Primary Skill: Tableau, Visualization, Excel Secondary Skill: Power BI, Cognos, Qlik, SQL, Python, Advance Excel, Excel Macro BI Engineer: Should have minimum 1 year’s hand on experience building advanced Data Analytics Should have minimum 1 years’ hands on Experience of delivering Managed Data and Analytics programs (Managed services and Managed assets) Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modeling, Data scientists etc. Should have experience in building efficient Data analytics by using leading industry tools like Python, SQL, Spark, etc. Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools. Should have good knowledge of Data consumption patterns and BI tools like Tableau, Qlik sense, Power BI etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice to have: Certifications in Tableau and other BI tools is an added advantage. Certification in any cloud platform Managed Services- Data, Analytics & Insights At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights Managed Service where we focus more so on the evolution of our clients’ Data, Analytics, Insights and cloud portfolio. Our focus is to empower our clients to navigate and capture the value of their application portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Application Evolution Service offerings and engagement including help desk support, enhancement and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

Job Description Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & Analytics. As part of this organization, the candidate will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. The organization is constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. We are seeking a Software Developer with responsibilities for development, debugging to identify root cause, support and release activities for our service platforms. You will be part of a Dev/Ops team within the Operations Engineering & Analytics (OEA) group. Our enterprise services span on-premise and cloud environments with a heavy focus on data collection, processing and analytics leveraging various cloud services and languages such as Python and SQL. As you build your knowledge in this role, you will have opportunities to share outside your immediate team through mentorship, coaching, technical talks and blogs. Minimum Qualifications: Bachelor's degree in Computer Science (CS), Computer Engineering, CIS, MIS, IS, Software Engineering or related area, or equivalent work experience 5+ years software development experience 3+ years software development experience with Java, Python or Scala 3+ year hands experience with Data Ingestion, Data Orchestration on Cloud Data Platforms such as Oracle Cloud Infrastructure or Microsoft Azure 3+ years experience with Big Data Technologies (i.e. Spark, Hadoop, Map/Reduce, Kafka) 3+ years of CI/CD pipeline (Jenkins, Git,...etc.) Preferred Qualifications: Experience with the Agile development methodology OCI/MSCP certification, Oracle RDBMS, Oracle SQL, Oracle Cloud services etc. Experience in SaaS solutions Experience in Big data Technologies Good communication skills Interest in, and a passion for data analysis, data management and AI/ML Excellent written and verbal communication skills Ability and willingness to: Work directly with key business users and stakeholders to gather requirements for integrations Communicate effectively with diverse people and individuals at various levels within the organization Evaluate, communicate and coordinate the technical impacts of application configuration decisions Career Level : IC3 Responsibilities Architecture and development tasks such as prototyping new services and workloads within the Microsoft Azure cloud computing environment and Oracle Cloud Infrastructure Platform to meet business data analysis needs and requirements for OEA's internal business stakeholders and consumers. The Software Developer IC3 must have SQL, Java, Python, and/or C# programming and experience in big data technologies (OCI, Hadoop, HDFS, Hbase, Map/Reduce, Java, Scala, Apache Kafka, and Apache Spark is preferred.) The ideal candidate is responsible for: Analyzing data requirements and data sources to identify ingestion and integration methods for consolidation and cataloging of data into the CMS. Identifying process improvements at the team level to support operations and development ecosystem. Collaborating on component level technical designs to help derive additional value from our solutions thus benefitting our business stakeholders that rely upon the data for daily business operations. Creating clear, well-constructed designs and documentation for medium to moderate scope stories. Writing code and supporting the services we manage. May also participate in architecture discussions, design sessions and code reviews with other associates that help ensure maintainability, application security and performance. Should be able to coach/mentor junior members technically as well as functionally. Act as a primary contributor in code reviews, and provide feedback on solution level performance improvements. As a member of the team, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems. Ability to work overtime and participate in an on-call rotation if/when required. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an 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 and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

As a Data Scientist focused on Manufacturing Data Solutions at PwC, you will leverage advanced analytical techniques and machine learning algorithms to transform data into strategic insights that drive business innovation and growth. Your expertise in predictive modeling and statistical analysis will enable you to identify patterns and trends, providing data-driven solutions to complex business challenges. You will create impactful visualizations using tools like Tableau to communicate findings clearly to stakeholders. In this role, your key responsibilities will include developing predictive models using advanced statistical and machine learning techniques, conducting time series analysis, classification, and regression to support business objectives, and utilizing Spark, Databricks, or cloud platforms like Azure/AWS for data processing. You will ensure seamless data flow from various sources into analytical models and create compelling visualizations using Tableau to convey data insights. Additionally, you will work with cross-functional teams to identify business challenges, develop data-driven solutions, and lead projects to implement innovative data science methodologies. To excel in this position, proficiency in Python, R, SQL, TensorFlow, and PyTorch is mandatory. Experience with time series analysis, predictive modeling, classification, and regression is essential, along with familiarity with Spark, Databricks, or cloud platforms like Azure/AWS. Expertise in creating visualizations with Tableau to convey data insights is also required. While not mandatory, having an interest in exploring new data science trends and technologies, as well as experience working with cross-functional teams to develop data-driven solutions, would be beneficial for this role.,

Job Description Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & Analytics. As part of this organization, the candidate will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. The organization is constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. We are seeking a Software Developer with responsibilities for development, debugging to identify root cause, support and release activities for our service platforms. You will be part of a Dev/Ops team within the Operations Engineering & Analytics (OEA) group. Our enterprise services span on-premise and cloud environments with a heavy focus on data collection, processing and analytics leveraging various cloud services and languages such as Python and SQL. As you build your knowledge in this role, you will have opportunities to share outside your immediate team through mentorship, coaching, technical talks and blogs. Minimum Qualifications: Bachelor's degree in Computer Science (CS), Computer Engineering, CIS, MIS, IS, Software Engineering or related area, or equivalent work experience 5+ years software development experience 3+ years software development experience with Java, Python or Scala 3+ year hands experience with Data Ingestion, Data Orchestration on Cloud Data Platforms such as Oracle Cloud Infrastructure or Microsoft Azure 3+ years experience with Big Data Technologies (i.e. Spark, Hadoop, Map/Reduce, Kafka) 3+ years of CI/CD pipeline (Jenkins, Git,...etc.) Preferred Qualifications: Experience with the Agile development methodology OCI/MSCP certification, Oracle RDBMS, Oracle SQL, Oracle Cloud services etc. Experience in SaaS solutions Experience in Big data Technologies Good communication skills Interest in, and a passion for data analysis, data management and AI/ML Excellent written and verbal communication skills Ability and willingness to: Work directly with key business users and stakeholders to gather requirements for integrations Communicate effectively with diverse people and individuals at various levels within the organization Evaluate, communicate and coordinate the technical impacts of application configuration decisions Career Level : IC3 Responsibilities Architecture and development tasks such as prototyping new services and workloads within the Microsoft Azure cloud computing environment and Oracle Cloud Infrastructure Platform to meet business data analysis needs and requirements for OEA's internal business stakeholders and consumers. The Software Developer IC3 must have SQL, Java, Python, and/or C# programming and experience in big data technologies (OCI, Hadoop, HDFS, Hbase, Map/Reduce, Java, Scala, Apache Kafka, and Apache Spark is preferred.) The ideal candidate is responsible for: Analyzing data requirements and data sources to identify ingestion and integration methods for consolidation and cataloging of data into the CMS. Identifying process improvements at the team level to support operations and development ecosystem. Collaborating on component level technical designs to help derive additional value from our solutions thus benefitting our business stakeholders that rely upon the data for daily business operations. Creating clear, well-constructed designs and documentation for medium to moderate scope stories. Writing code and supporting the services we manage. May also participate in architecture discussions, design sessions and code reviews with other associates that help ensure maintainability, application security and performance. Should be able to coach/mentor junior members technically as well as functionally. Act as a primary contributor in code reviews, and provide feedback on solution level performance improvements. As a member of the team, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems. Ability to work overtime and participate in an on-call rotation if/when required. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an 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 and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description : Principal AI Architect Employment Type : Full-Time. Relevant Experience : 10+ years Key Responsibilities AI-First Leadership : Define and drive DB Techs AI vision, re-architect systems into AI-native services, integrate tools like Cursor/Relevance AI, and mentor teams in prompt engineering, Vibe Coding, and autonomous testing. Architect Scalable AI Systems : Design enterprise-scale AI/ML platforms that support real-time analytics, model deployment, and continuous learning in financial products and services. Lead Solution Design : Collaborate with data scientists, engineers, and business stakeholders to build and integrate AI models into core platforms (e.g., risk engines, transaction monitoring, robo-advisors). Ensure Governance & Compliance : Implement AI systems that meet financial regulations (e.g., GDPR, PCI-DSS, FFIEC, Basel III) and uphold fairness, explainability, and accountability. Drive MLOps Strategy : Establish and maintain robust pipelines for data ingestion, feature engineering, model training, testing, deployment, and monitoring. Team Leadership : Provide technical leadership to data science and engineering teams. Promote best practices in AI ethics, version control, and reproducibility. Identify areas where AI can deliver business value and lead the development of proofs-of-concept (PoCs). Evaluate the feasibility, cost, and impact of new AI initiatives. Define best practices\standards for model lifecycle management (training, validation, deployment, monitoring) - Evaluate Emerging Technologies : Stay ahead of developments in generative AI, LLMs, and FinTech- specific AI tools, and drive their strategic adoption. Technical Skills And Tools ML & AI Frameworks : Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch Hugging Face Transformers, OpenAI APIs (for generative and NLP use cases) MLOps & Deployment MLflow, Kubeflow, Seldon Core, KServe, Weights & Biases FastAPI, gRPC, Docker, Kubernetes, Airflow FinTech-Specific Applications Credit scoring models, Fraud detection algorithms Time series forecasting, NLP for financial documents/chatbots Algorithmic trading models, AML (Anti-Money Laundering) systems Cloud & Data Platforms AWS SageMaker, Azure ML, Google Vertex AI Databricks, Snowflake, Kafka, BigQuery, Delta Lake Monitoring & Explainability SHAP, LIME, Alibi, Evidently AI, Arize AI IBM AIX 360, Fiddler AI Required Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field; PhD is a plus. 10+ years of experience in AI/ML, including 35 years in architectural roles within FinTech or other highly regulated industries. Proven track record of building and deploying AI solutions in areas such as fraud detection, credit risk modeling, or portfolio optimization. Strong Hands-on Expertise In Machine Learning : scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch Data Engineering : Spark, Kafka, Airflow, SQL/NoSQL (MongoDB, Neo4j) Cloud & MLOps : AWS, GCP, or Azure; Docker, Kubernetes, MLflow, SageMaker, Vertex AI Programming : Python (primary); Java or Scala (optional) Solid software engineering background with experience integrating ML models into scalable production systems. Excellent communication skills with the ability to influence both technical and non-technical stakeholders. (ref:hirist.tech)

Job Title: Senior Consultant - Data Engineer Career Level: E Introduction To Role Are you ready to make a significant impact in the world of data engineering? Join AstraZeneca's Commercial IT Data Analytics & AI (DAAI) team as a Senior Consultant - Data Engineer and become a vital contributor to our data platforms powered by AWS services and Databricks. Based in Chennai GITC, you'll be at the forefront of shaping our quality engineering strategy, leading a team of quality engineers, and driving the success of our data platform initiatives. Dive into the world of data engineering, where your expertise in ETL, Databricks, Datawarehouse, and AWS applications will be crucial in implementing industry best practices and standards. Are you up for the challenge? Accountabilities As the Data Engineer, your key accountabilities will include: Technical Expertise Design, develop, and implement scalable processes to extract, transform, and load data from various sources into data warehouses. Demonstrate expert understanding of the application development processes of AstraZeneca’s implementation of the data product. Design, manage, and fine-tune SQL queries and procedures to achieve optimal performance and scalability. Work on JIRAs and provide support on production issues and enhancements whenever required. Quality Engineering Standards: Monitor and optimize data pipelines, troubleshoot, and resolve any issues that may arise during data processing. Maintain quality standards in design, code, and data models, ensuring thorough reviews at each stage of the development life cycle. Provide detailed analysis and documentation of processes and flows where necessary. Collaboration: Work closely with data engineers to understand data sources, transformations, and dependencies thoroughly. Collaborate with cross-functional teams, including Product Owners, Business Analysts, and CriticalOps teams to ensure seamless data integration and reliability. Innovation and Process Improvement: Drive the adoption of new technologies and tools to improve data engineering processes and efficiency. Recommend and implement enhancements to improve reliability, efficiency, and quality of data processing pipelines. Education Essential Skills/Experience: Bachelor’s degree in Computer Science, Information Technology, or a related field. Skills And Experience Strong experience with SQL, warehousing, and building ETL pipelines using Databricks and AWS cloud. Proficient in working with Spark framework, Pyspark, AWS EMR, and AWS Athena. Solid understanding of data modeling, ETL processes, and data warehousing concepts. Deep SQL knowledge to write complex queries for data extraction, transformation, and reporting. Excellent communication with the ability to collaborate effectively with technical and non-technical stakeholders. Knowledge of database design principles, data modeling, and the ability to translate business requirements into database structures. Strong analytical skills with the ability to troubleshoot and deliver solutions in complex data environments. Experienced in Agile Development techniques and methodologies. Desirable Skills/Experience Experience with Databricks, AWS Cloud services like AWS EMR, S3, Glue, Athena, Lambda. Proficiency in scripting and programming languages such as Python. Prior significant experience working in Pharmaceutical or Healthcare industry IT environment. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we are committed to driving disruptive transformation on our journey to becoming a digital and data-led enterprise. Our work connects across the entire business to influence patient outcomes positively. Collaborate with leading experts in our specialist communities where innovation meets large-scale impact. Here, you can raise your profile while contributing to life-changing insights that empower patients worldwide. Ready to take your career to new heights? Apply now and be part of our transformative journey! Date Posted 18-Jul-2025 Closing Date 19-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

About Us We are a fast-growing Direct-to-Consumer (D2C) company revolutionizing how customers interact with our products. Our data-driven approach is at the core of our business strategy, enabling us to make informed decisions that enhance customer experience and drive business growth. We're looking for a talented Senior Data Engineer to join our team and help shape our data infrastructure for the future. Role Overview As a Senior Data Engineer, you will architect, build, and maintain our data infrastructure that powers critical business decisions. You will work closely with data scientists, analysts, and product teams to design and implement scalable solutions for data processing, storage, and retrieval. Your work will directly impact our ability to leverage data for business intelligence, machine learning initiatives, and customer insights. Key Responsibilities Design, build, and maintain our end-to-end data infrastructure on AWS and GCP cloud platforms Develop and optimize ETL/ELT pipelines to process large volumes of data from multiple sources Build and support data pipelines for reporting, analytics, and machine learning applications Implement and manage streaming data solutions using Kafka and other technologies Design and optimize database schemas and data models in ClickHouse and other databases Develop and maintain data workflows using Apache Airflow and similar orchestration tools Write efficient, maintainable, and scalable code using PySpark and other data processing frameworks Collaborate with data scientists to implement ML infrastructure for model training and deployment Ensure data quality, reliability, and security across all data platforms Monitor data pipelines and implement proactive alerting systems Troubleshoot and resolve data infrastructure issues Document data flows, architectures, and processes Mentor junior data engineers and contribute to establishing best practices Stay current with industry trends and emerging technologies in data engineering Qualifications Required : Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred) 5+ years of experience in data engineering roles Strong expertise in AWS and/or GCP cloud platforms and services Proficiency in building data pipelines using modern ETL/ELT tools and frameworks Experience with stream processing technologies such as Kafka Hands-on experience with ClickHouse or similar analytical databases Strong programming skills in Python and experience with PySpark Experience with workflow orchestration tools like Apache Airflow Solid understanding of data modeling, data warehousing concepts, and dimensional modeling Knowledge of SQL and NoSQL databases Strong problem-solving skills and attention to detail Excellent communication skills and ability to work in cross-functional teams Preferred Experience in D2C, e-commerce, or retail industries Knowledge of data visualization tools (Tableau, Looker, Power BI) Experience with real-time analytics solutions Familiarity with CI/CD practices for data pipelines Experience with containerization technologies (Docker, Kubernetes) Understanding of data governance and compliance requirements Experience with MLOps or ML engineering Technologies Cloud Platforms: AWS (S3, Redshift, EMR, Lambda), GCP (BigQuery, Dataflow, Dataproc) Data Processing: Apache Spark, PySpark, Python, SQL Streaming: Apache Kafka, Kinesis Data Storage: ClickHouse, S3, BigQuery, PostgreSQL, MongoDB Orchestration: Apache Airflow Version Control: Git Containerization: Docker, Kubernetes (optional) What We Offer Competitive salary and comprehensive benefits package Opportunity to work with cutting-edge data technologies Professional development and learning opportunities Modern office in Mumbai with great amenities Collaborative and innovation-driven culture Opportunity to make a significant impact on company growth (ref:hirist.tech)

Job Title : ML Ops Engineer. Experience : 5 Years. Location : Remote (India). Job Overview We are seeking a highly skilled MLOps Engineer with over 5 years of experience in Software Engineering and Machine Learning Operations. The ideal candidate will have hands-on experience with AWS (particularly SageMaker), MLflow, and other MLOps tools, and a strong understanding of building scalable, secure, and production-ready ML systems. Key Responsibilities Design, implement, and maintain scalable MLOps pipelines and infrastructure. Work with cross-functional teams to support end-to-end ML lifecycle including model development, deployment, monitoring, and governance. Leverage AWS services, particularly SageMaker, to manage model training and deployment. Apply best practices for CI/CD, model versioning, reproducibility, and operational monitoring. Participate in MLOps research and help drive innovation across the team. Contribute to the design of secure, reliable, and scalable ML solutions in a production environment. Required Skills 5+ years of experience in Software Engineering and MLOps. Strong experience with AWS, especially SageMaker. Experience with MLflow or similar tools for model tracking and lifecycle management. Familiarity with AWS Data Zone is a strong plus. Proficiency in Python; experience with R, Scala, or Apache Spark is a plus. Solid understanding of software engineering principles, version control, and testing practices. Experience deploying and maintaining models in production environments. Preferred Attributes Strong analytical thinking and problem-solving skills. A proactive mindset with the ability to contribute to MLOps research and process improvements. Self-motivated and able to work effectively in a remote setting. (ref:hirist.tech)