1766 Data Engineering Jobs - Page 17

JD Senior Data Engineer Job Location : Hyderabad We are looking for an experienced Data Engineer with 3+ years of expertise in Databricks, AWS, Scala, and Apache Spark to work with one of our leading Japanese automotive based Client in North America, where cutting-edge technology meets innovation. The ideal candidate will have a strong foundation in big data processing, cloud technologies, and performance tuning to enable efficient data management. You'll also collaborate with global teams, work with advanced cloud technologies, and contribute to a forward-thinking data ecosystem that powers the future of automotive engineering. Who Can Apply: Only candidates who can join immediately or within 1 week can apply. Ideal for those seeking technical growth and work on a global project with cutting-edge technologies. Best suited for professionals passionate about innovation and problem-solving Key Responsibilities: Architect, design, and implement scalable ETL pipelines for large data processing. Develop and optimize data solutions using Databricks, AWS, Scala, and Spark. Ensure high-performance data processing with distributed computing techniques. Implement best practices for data modeling, transformation, and governance. Work closely with cross-functional teams to improve data reliability and efficiency. Monitor and troubleshoot data pipelines for performance improvements. Required Skills & Qualifications: Excellent communication and ability to handle direct Client interactions. 2+ years of experience in Data Engineering. Expertise in Databricks, AWS, Scala, and Apache Spark. Strong knowledge of big data architecture, ETL processes, and cloud data solutions. Ability to write optimized and scalable Spark jobs for distributed computing.

We are seeking an experienced and highly skilled Senior Data Scientist to drive data-driven decision-making and innovation. In this role, you will leverage your expertise in advanced analytics, machine learning, and big data technologies to solve complex business challenges. You will be responsible for designing predictive models, building scalable data pipelines, and uncovering actionable insights from structured and unstructured datasets. Collaborating with cross-functional teams, your work will empower strategic decision-making and foster a data-driven culture across the organization. Role & responsibilities 1. Data Exploration and Analysis: Collect, clean, and preprocess large and complex datasets from diverse sources, including SQL databases, cloud platforms, and APIs. Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data. Develop meaningful KPIs and metrics tailored to business objectives. 2. Advanced Modeling and Machine Learning: Design, implement, and optimize predictive and prescriptive models using statistical techniques and machine learning algorithms. Evaluate model performance and ensure scalability and reliability in production. Work with both structured and unstructured data for tasks such as text analysis, image processing, and recommendation systems. 3. Data Engineering and Automation: Build and optimize scalable ETL pipelines for data processing and feature engineering. Collaborate with data engineers to ensure seamless integration of data science solutions into production environments. Leverage cloud platforms (e.g., AWS, Azure, GCP) for scalable computation and storage. 4. Data Visualization and Storytelling: Communicate complex analytical findings effectively through intuitive visualizations and presentations. Create dashboards and visualizations using tools such as Power BI, Tableau, or Python libraries (e.g., Matplotlib, Seaborn, Plotly). Translate data insights into actionable recommendations for stakeholders. 5. Cross-functional Collaboration and Innovation: Partner with business units, product teams, and data engineers to define project objectives and deliver impactful solutions. Stay updated with emerging technologies and best practices in data science, machine learning, and AI. Contribute to fostering a data-centric culture within the organization by mentoring junior team members and promoting innovative approaches. Preferred candidate profile Proficiency in Python, R, or other data science programming languages. Strong knowledge of machine learning libraries and frameworks (e.g., Scikit-learn, Tensor Flow, PyTorch). Advanced SQL skills for querying and managing relational databases. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP), preferably MS Azure. Familiarity with data visualization tools such as Power BI, Tableau, or equivalent, preferably MS Power BI. Analytical and Problem-solving Skills: Expertise in statistical modeling, hypothesis testing, and experiment design. Strong problem-solving skills to address business challenges through data-driven solutions. Ability to conceptualize and implement metrics/KPIs tailored to business needs. Soft Skills: Excellent communication skills to translate complex technical concepts into business insights. Collaborative mindset with the ability to work in cross-functional teams. Proactive and detail-oriented approach to project management and execution. Education and Experience: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 8+ years of experience in data science, advanced analytics, or a similar field. Proven track record of deploying machine learning models in production environments. Perks & Benefits Best as per market standard. Work from home opportunity. 5 days working. Shift Timing 2PM-11PM IST (Flexible hours)

Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Participate in delivery reviews / product reviews, quality assurance and work as design authority Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems Experience in data engineering and architecting data platforms Experience in architecting and implementing Data Platforms Azure Cloud Platform Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred technical and professional experience Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc

As a BigData Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets In this role, your responsibilities may include: As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Big Data Developer, Hadoop, Hive, Spark, PySpark, Strong SQL. Ability to incorporate a variety of statistical and machine learning techniques. Basic understanding of Cloud (AWS,Azure, etc) . Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience Basic understanding or experience with predictive/prescriptive modeling skills You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark): In-depth knowledge of Sparks architecture, core APIs, and PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in Python: Expertise in Python programming with a focus on data processing and manipulation. Data Processing Frameworks: Knowledge of data processing libraries such as Pandas, NumPy. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark): In-depth knowledge of Sparks architecture, core APIs, and PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modelling, and data warehousing concepts. Strong proficiency in Python: Expertise in Python programming with a focus on data processing and manipulation. Data Processing Frameworks: Knowledge of data processing libraries such as Pandas, NumPy. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

About the role We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will have at least 1 2 years of experience in s oftware & data engineering and a nalytics and a proven track record of designing and implementing complex data solutions. Y ou will be expected to design, create, deploy, and manage Blackbauds data architecture. This role has considerable technical influence within the Data Platform, Data Engineering teams, and the Data Intelligence Center of Excellence atBlackbaud. Thisindividual acts as an evangelist for proper data strategy with other teams at Blackbaud and assists with the technical direction, specifically with data, of other projects. What youll be doing Develop and direct the strategy for all aspects of Blackbauds Data and Analytics platforms, products and services Set, communicate and facilitate technical directionmore broadly for the AI Center of Excellence and collaboratively beyond the Center of Excellence Design and develop breakthrough products, services or technological advancements in the Data Intelligence space that expand our business Work alongside product management to craft technical solutions to solve customer business problems. Own the technical data governance practices and ensures data sovereignty, privacy, security and regulatory compliance. Continuously challenging the status quo of how things have been done in the past. Build data access strategy to securely democratize data and enable research, modelling, machine learning and artificial intelligence work. Help define the tools and pipeline patterns our engineers and data engineers use to transform data and support our analytics practice Work in a cross-functional team to translate business needs into data architecture solutions. Ensure data solutions are built for performance, scalability, and reliability. Mentor junior data architects and team members. Keep current on technologydistributed computing, big data concepts and architecture. Promote internally how data within Blackbaud can help change the world. What we want you to have: 1 0 + years of experience in data and advanced analytics At least 8 years of experience working on data technologies in Azure/AWS Experience building modern products and infrastructure Experience working with .Net /Java and Microservice Architecture Expertise in SQL and Python Expertise in SQL Server, Azure Data Services, and other Microsoft data technologies. Expertise in Databricks, Microsoft Fabric Strong understanding of data modeling, data warehousing, data lakes , data mesh and data products. Experience with machine learning Excellent communication and leadership skills. Able to work flexible hours as required by business priorities Ability to deliver software that meets consistent standards of quality, security and operability. Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

to be added Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

As a Data Engineer , you are required to Design, build, and maintain data pipelines that efficiently process and transport data from various sources to storage systems or processing environments while ensuring data integrity, consistency, and accuracy across the entire data pipeline. Integrate data from different systems, often involving data cleaning, transformation (ETL), and validation. Design the structure of databases and data storage systems, including the design of schemas, tables, and relationships between datasets to enable efficient querying. Work closely with data scientists, analysts, and other stakeholders to understand their data needs and ensure that the data is structured in a way that makes it accessible and usable. Stay up-to-date with the latest trends and technologies in the data engineering space, such as new data storage solutions, processing frameworks, and cloud technologies. Evaluate and implement new tools to improve data engineering processes. Qualification Bachelor's or Master's in Computer Science & Engineering, or equivalent. Professional Degree in Data Science, Engineering is desirable. Experience level At least 3 - 5 years hands-on experience in Data Engineering, ETL. Desired Knowledge & Experience Spark: Spark 3.x, RDD/DataFrames/SQL, Batch/Structured Streaming Knowing Spark internalsCatalyst/Tungsten/Photon Databricks: Workflows, SQL Warehouses/Endpoints, DLT, Pipelines, Unity, Autoloader IDE: IntelliJ/Pycharm, Git, Azure Devops, Github Copilot Test: pytest, Great Expectations CI/CD Yaml Azure Pipelines, Continuous Delivery, Acceptance Testing Big Data Design: Lakehouse/Medallion Architecture, Parquet/Delta, Partitioning, Distribution, Data Skew, Compaction Languages: Python/Functional Programming (FP) SQL TSQL/Spark SQL/HiveQL Storage Data Lake and Big Data Storage Design additionally it is helpful to know basics of: Data Pipelines ADF/Synapse Pipelines/Oozie/Airflow Languages: Scala, Java NoSQL : Cosmos, Mongo, Cassandra Cubes SSAS (ROLAP, HOLAP, MOLAP), AAS, Tabular Model SQL Server TSQL, Stored Procedures Hadoop HDInsight/MapReduce/HDFS/YARN/Oozie/Hive/HBase/Ambari/Ranger/Atlas/Kafka Data Catalog Azure Purview, Apache Atlas, Informatica Required Soft skills & Other Capabilities Great attention to detail and good analytical abilities. Good planning and organizational skills Collaborative approach to sharing ideas and finding solutions Ability to work independently and also in a global team environment.

We offer joint operations and digitalization services for Global Business Services and work closely alongside the entire Shared Services organization. We make efficient use of the possibilities of new technologies such as Business Process Management (BPM) and Robotics as enablers for efficient and effective implementations. We are looking for Data Engineer (AWS, Confluent & Snaplogic ) Data Integration : Integrate data from various Siemens organizations into our data factory, ensuring seamless data flow and real-time data fetching. Data Processing : Implement and manage large-scale data processing solutions using AWS Glue, ensuring efficient and reliable data transformation and loading. Data Storage : Store and manage data in a large-scale data lake, utilizing Iceberg tables in Snowflake for optimized data storage and retrieval. Data Transformation : Apply various data transformations to prepare data for analysis and reporting, ensuring data quality and consistency. Data Products : Create and maintain data products that meet the needs of various stakeholders, providing actionable insights and supporting data-driven decision-making. Workflow Management : Use Apache Airflow to orchestrate and automate data workflows, ensuring timely and accurate data processing. Real-time Data Streaming : Utilize Confluent Kafka for real-time data streaming, ensuring low-latency data integration and processing. ETL Processes : Design and implement ETL processes using SnapLogic , ensuring efficient data extraction, transformation, and loading. Monitoring and Logging : Use Splunk for monitoring and logging data processes, ensuring system reliability and performance. Youd describe yourself as: Experience : 3+ relevant years of experience in data engineering, with a focus on AWS Glue, Iceberg tables, Confluent Kafka, SnapLogic, and Airflow. Technical Skills : Proficiency in AWS services, particularly AWS Glue. Experience with Iceberg tables and Snowflake. Knowledge of Confluent Kafka for real-time data streaming. Familiarity with SnapLogic for ETL processes. Experience with Apache Airflow for workflow management. Understanding of Splunk for monitoring and logging. Programming Skills : Proficiency in Python, SQL, and other relevant programming languages. Data Modeling : Experience with data modeling and database design. Problem-Solving : Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve data-related issues. Preferred Qualities: Attention to Detail : Meticulous attention to detail, ensuring data accuracy and quality. Communication Skills : Excellent communication skills, with the ability to collaborate effectively with cross-functional teams. Adaptability : Ability to adapt to changing technologies and work in a fast-paced environment. Team Player : Strong team player with a collaborative mindset. Continuous Learning : Eagerness to learn and stay updated with the latest trends and technologies in data engineering.

Novo Nordisk Global Business Services ( GBS) India Department - Global Data & Artificial lntelligence Are you passionate about building scalable data pipelines and optimising data workflowsDo you want to work at the forefront of data engineering, collaborating with cross-functional teams to drive innovationIf so, we are looking for a talented Data Engineer to join our Global Data & AI team at Novo Nordisk. Read on and apply today for a life-changing career! The Position As a Senior Data Engineer, you will play a key role in designing, developing, and main-taining data pipelines and integration solutions to support analytics, Artificial Intelligence workflows, and business intelligence. It includes: Design, implement, and maintain scalable data pipelines and integration solutions aligned with the overall data architecture and strategy. Implement data transformation workflows using modern ETL/ELT approaches while establishing best practices for data engineering, including testing methodologies and documentation. Optimize data workflows by harmonizing and securely transferring data across systems, while collaborating with stakeholders to deliver high-performance solutions for analytics and Artificial Intelligence. Monitoring and maintaining data systems to ensure their reliability. Support data governance by ensuring data quality and consistency, while contributing to architectural decisions shaping the data platform's future. Mentoring junior engineers and fostering a culture of engineering excellence. Qualifications Bachelor’s or master’s degree in computer science, Software Development, Engineering. Possess over 10 years of overall professional experience, including more than 4 years of specialized expertise in data engineering. Experience in developing production-grade data pipelines using Python, Data-bricks and Azure cloud, with a strong foundation in software engineering principles. Experience in the clinical data domain, with knowledge of standards such as CDISC SDTM and ADaM (Good to have). Experience working in a regulated industry (Good to have). About the department You will be part of the Global Data & AI team. Our department is globally distributed and has for mission to harness the power of Data and Artificial Intelligence, integrating it seamlessly into the fabric of Novo Nordisk's operations. We serve as the vital link, weaving together the realms of Data and Artificial Intelligence throughout the whole organi-zation, empowering Novo Nordisk to realize its strategic ambitions through our pivotal initiatives. The atmosphere is fast-paced and dynamic, with a strong focus on collaboration and innovation. We work closely with various business domains to create actionable insights and drive commercial excellence.

The Manager, Software Development Engineering leads a team of technical experts in successfully executing technology projects and solutions that align with the strategy and have broad business impact. The Manager, Software Development Engineering will work closely with development teams to identify and understand key features and their underlying functionality while also partnering closely with Product Management and UX Design. They may exercise influence and govern overall end-to-end software development life cycle related activities including management of support and maintenance releases, minor functional releases, and major projects. The Manager, Software Development Engineering will lead & provide technical guidance for process improvement programs while leveraging engineering best practices. In this people leadership role, Managers will recruit, train, motivate, coach, grow and develop Software Development Engineer team members at a variety of levels through their technical expertise and providing continuous feedback to ensure employee expectations, customer needs and product demands are met. About the Role: Lead and manage a team of engineers, providing mentorship and fostering a collaborative environment. Design, implement, and maintain scalable data pipelines and systems to support business analytics and data science initiatives. Collaborate with cross-functional teams to understand data requirements and ensure data solutions align with business goals. Ensure data quality, integrity, and security across all data processes and systems. Drive the adoption of best practices in data engineering, including coding standards, testing, and automation. Evaluate and integrate new technologies and tools to enhance data processing and analytics capabilities. Prepare and present reports on engineering activities, metrics, and project progress to stakeholders. About You: Proficiency in programming languages such as Python, Java, or Scala. Data Engineering with API & any programming language. Strong understanding of APIs and possess forward-looking knowledge of AI/ML tools or models and need to have some knowledge on software architecture. Experience with cloud platforms (e.g., AWS,Google Cloud) and big data technologies (e.g., Hadoop, Spark). Experience with Rest/Odata API's Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and interpersonal skills. Experience with data warehousing solutions such as BigQuery or snowflakes Familiarity with data visualization tools and techniques. Understanding of machine learning concepts and frameworks. #LI-AD2 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. About The Role We are looking for a highly motivated individual with strong organizational and technical skills for the position of Lead Data Engineer/ Data Engineering Manager (Snowflake). You will play a critical role working on cutting edge of Data Engineering and analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.Effectively communicate across various levels, including Executives, and functions within the global organization.Demonstrate strong leadership skills with ability to drive projects/tasks to delivering valueEngage with stakeholders, business analysts and project team to understand the data requirements.Design analytical frameworks to provide insights into a business problem.Explore and visualize multiple data sets to understand data available and prepare data for problem solving.Design database models (if a data mart or operational data store is required to aggregate data for modeling). About You You're a fit for the Lead Data Engineer/ Data Engineering Manager (Snowflake), if your background includes:QualificationsB-Tech/M-Tech/MCA or equivalentExperience7-9 years of corporate experienceLocationBangalore, IndiaHands-on experience in developing data models for large scale data warehouse/data Lake Snowflake, BWMap the data journey from operational system sources through any transformations in transit to itsdelivery into enterprise repositories (Warehouse, Data Lake, Master Data, etc.)Enabling on the overall master and reference data strategy, including the procedures to ensure the consistency and quality of Finance reference data.Experience across ETL, SQL and other emerging data technologies with experience in integrations of a cloud-based analytics environmentBuild and refine end-to-end data workflows to offer actionable insightsFair understanding of Data Strategy, Data Governance ProcessKnowledge in BI analytics and visualization toolsPower BI, Tableau #LI-NR1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Lead Software Engineer: We are seeking a highly motivated and experienced Lead Software Engineer to join our dynamic team. As a key member of our team, you will contribute to the development of innovative cutting-edge solutions, collaborating with cross-functional teams, and driving the delivery of new products and features that meet our customer needs. About the Role: Work closely with business partners and stakeholders to identify requirements and prioritize new enhancements and features Collaborate with software engineers, architects, technical management, and business partners across geographical and organizational boundaries Assist in architecture direction and finalize design with Architects Break down deliverables into meaningful stories for the development team Provide technical leadership, mentoring, and coaching to software or systems engineering teams Share knowledge and best practices on using new and emerging technologies Provide technical support to operations or other development teams by troubleshooting, debugging, and solving critical issues Interpret code and solve problems based on existing standards Create and maintain technical documentation related to assigned components About You: To be successful in this role, you should have: Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or equivalent experience 9+ years of professional software development experience Strong technical skills, including: Python programming (3+ years) AWS experience with EKS/Kubernetes Experience with LLMs, AI Solutions, and evaluation Understanding of agentic systems and workflows Experience with Retrieval Systems leveraging tools like OpenSearch Experience with event-driven/asynchronous programming Experience with high-concurrency systems Experience with CI/CD using GitHub Actions and AWS services (Code Pipeline/Code Builds Strong understanding of Microservices and RESTful APIs FastAPI Celery Data Engineering background Experience with AWS services (Redis, DynamoDB, S3, SQS, Kinesis, KMS, IAM, Secret Manager, etc.) Performance optimization and security practices Self-driven with ability to work with minimal direction Strong context-switching abilities Problem-solving mindset Clear communication Strong documentation habits Attention to detail #LI-BD1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

About the Role In this opportunity, as Senior Data Engineer, you will: Develop and maintain data solutions using resources such as dbt, Alteryx, and Python. Design and optimize data pipelines, ensuring efficient data flow and processing. Work extensively with databases, SQL, and various data formats including JSON, XML, and CSV. Tune and optimize queries to enhance performance and reliability. Develop high-quality code in SQL, dbt, and Python, adhering to best practices. Understand and implement data automation and API integrations. Leverage AI capabilities to enhance data engineering practices. Understand integration points related to upstream and downstream requirements. Proactively manage tasks and work towards completion against tight deadlines. Analyze existing processes and offer suggestions for improvement. About You Youre a fit for the role of Senior Data Engineer if your background includes: Strong interest and knowledge in data engineering principles and methods. 6+ years of experience developing data solutions or pipelines. 6+ years of hands-on experience with databases and SQL. 2+ years of experience programming in an additional language. 2+ years of experience in query tuning and optimization. Experience working with SQL, JSON, XML, and CSV content. Understanding of data automation and API integration. Familiarity with AI capabilities and their application in data engineering. Ability to adhere to best practices for developing programmatic solutions. Strong problem-solving skills and ability to work independently. #LI-HG1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

About the Role: Grade Level (for internal use): 10 Position Title Senior Software Developer The Team Do you love to collaborate & provide solutionsThis team comes together across eight different locations every single day to craft enterprise grade applications that serve a large customer base with growing demand and usage. You will use a wide range of technologies and cultivate a collaborative environment with other internal teams. The Impact We focus primarily developing, enhancing and delivering required pieces of information & functionality to internal & external clients in all client-facing applications. You will have a highly visible role where even small changes have very wide impact. Whats in it for you - Opportunities for innovation and learning new state of the art technologies - To work in pure agile & scrum methodology Responsibilities : Design, and implement software-related projects. Perform analyses and articulate solutions. Design underlying engineering for use in multiple product offerings supporting a large volume of end-users. Develop project plans with task breakdowns and estimates. Manage and improve existing solutions. Solve a variety of complex problems and figure out possible solutions, weighing the costs and benefits. What were Looking For : Basic Qualifications : Bachelor's degree in Computer Science or Equivalent 6+ years related experience Passionate, smart, and articulate developer Strong C#, WPF and SQL skills Experience implementingWeb Services (with WCF, RESTful JSON, SOAP, TCP), Windows Services, and Unit Tests Dependency Injection Able to demonstrate strong OOP skills Able to work well individually and with a team Strong problem-solving skills Good work ethic, self-starter, and results-oriented Interest and experience in Environmental and Sustainability content is a plus Agile/Scrum experience a plus Exposure to Data Engineering & Big Data technologies like Hadoop, Spark/Scala, Nifi & ETL is a plus Preferred Qualifications : Experience on Docker is a plus Experience working in cloud computing environments such as AWS, Azure or GCP Experience with large scale messaging systems such as Kafka or RabbitMQ or commercial systems. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe 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: 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure 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 PerksIts 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 BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged 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. ----------------------------------------------------------- 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 ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Date 11 Feb 2025 Location: Bangalore, KA, IN Company Alstom Leading societies to a low carbon future, Alstom develops and markets mobility solutions that provide the sustainable foundations for the future of transportation. Our product portfolio ranges from high-speed trains, metros, monorail, and trams to integrated systems, customised services, infrastructure, signalling and digital mobility solutions. Joining us means joining a caring, responsible, and innovative company where more than 70,000 people lead the way to greener and smarter mobility, worldwide Qualifications & Skills Process Manufacturing Engineering experience of 12+Years. Technical knowledge of Manufacturing Engineering, preparing manufacturing work instructions, line balancing and process routing. Experience in working on DELMIA 16x and above, for Bill of Materials, Routings, Work instructions Familiar with ENOVIA & CATIA V5/V6. Process FMEA, QRQC. Key Responsibilities: Interface with key stakeholders from CDS / TDS sites. Understand the Sites WoW (Way Of Working), Methodologies and Processes. Review all Technical Specifications & STDs document. Create / manage PLM templates and 3PL / Part library within PLM. Creation of Manufacturing BOM on 3D Experience tool ( In Delmia environment). Map product manufacturing process on 3D Experience tool ( In Delmia environment). Creating routing and work instructions on 3D Experience tool ( In Delmia environment). Knowledge on Time analysis (MTM, MEK, UAS) and Technical drawings. Restructure / Re-create Mfg. drawings with all required details and update title blocks as required. Ensure the final output ( 3D CAD, 2D Dwgs, Engineering Data and Documents) are as per specifications. Be responsible for Product Structure in 3DX Generate / Validate 2D and 3D in compliance with QCD commitments, Mtier rules and processes. Verify consistency of digital mock-up vs. legacy. Engineering Documents and Deliverables attached in the Product Structure. Product Baseline and configuration. Deliver weekly progress report to CDS / TDS and secure E-BOM validation at the end of reconstruction. Alstom is the leading company in the mobility sector, solving the most interesting challenges for tomorrows mobility. Thats why we value inquisitive and innovative people who are passionate about working together to reinvent mobility, making it smarter and more sustainable. Day after day, we are building an agile, inclusive and responsible culture, where a diverse group of people are offered opportunities to learn, grow and advance in their careers, with options across functions and geographic locations. Are you ready to join a truly international community of great people on a challenging journey with a tangible impact and purpose Equal opportunity statement: Alstom is an equal opportunity employer committed to creating an inclusive working environment where all our employees are encouraged to reach their full potential, and individual differences are valued and respected. All qualified applicants are considered for employment without regard to race, colour, religion, gender, sexual orientation, gender identity, age, national origin, disability status, or any other characteristic protected by local law.

Job Responsibilities: - Design, construct, and maintain scalable data management systems using Azure Databricks, ensuring they meet end-user expectations. Supervise the upkeep of existing data infrastructure workflows to ensure continuous service delivery. Create data processing pipelines utilizing Databricks Notebooks, Spark SQL, Python and other Databricks tools. Oversee and lead the module through planning, estimation, implementation, monitoring and tracking. Desired Skills and Experience :- Over 8 + years of experience in data engineering, with expertise in Azure Data Bricks, MSSQL, LakeFlow, Python and supporting Azure technology. Design, build, test, and maintain highly scalable data management systems using Azure Databricks. Create data processing pipelines utilizing Databricks Notebooks, Spark SQL. Integrate Azure Databricks with other Azure services like Azure Data Lake Storage, Azure SQL Data Warehouse. Design and implement robust ETL pipelines using ADF and Databricks, ensuring data quality and integrity. Collaborate with data architects to implement effective data models and schemas within the Databricks environment. Develop and optimize PySpark/Python code for data processing tasks. Assist stakeholders with data-related technical issues and support their data infrastructure needs. Develop and maintain documentation for data pipeline architecture, development processes, and data governance. Data Warehousing: In-depth knowledge of data warehousing concepts, architecture, and implementation, including experience with various data warehouse platforms. Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients. Excellent problem-solving skills, with ability to work independently or as part of team. Strong communication and interpersonal skills, with ability to effectively engage with both technical and non-technical stakeholders. Able to work independently without the needs for close supervision and collaboratively as part of crossteam efforts.

Role & responsibilities We are seeking a skilled Data Engineer to join our team and enhance the efficiency and accuracy of health claim fraud detection. This role involves designing, building, and optimizing data pipelines, integrating AI/ML models in Vertex AI, and improving data processing workflows to detect fraudulent claims faster and more accurately. Qualifications: Bachelors/Masters degree in Computer Science, Data Engineering, or a related field. 3+ years of experience in data engineering, preferably in the healthcare or financial sector. Strong experience with Google Cloud (GCP) services: Vertex AI, BigQuery, Dataflow, Pub/Sub, Dataproc. Expertise in SQL and Python for data processing and transformation. Experience with ML model deployment and monitoring in Vertex AI. Knowledge of ETL pipelines, data governance, and security best practices. Familiarity with healthcare data standards (HL7, FHIR) and compliance frameworks. Experience with Apache Beam, Spark, or Kafka is a plus. Preferred Qualifications: Experience in fraud detection models using AI/ML. Hands-on experience with ML Ops in GCP. Strong problem-solving skills and the ability to work in a cross-functional team

Total Exp-6+Yrs 3+ years of experience in data engineering , preferably with real-time systems. Proficient with Python, SQL, and distributed data systems (Kinesis, Spark, Flink, etc.). Strong understanding of event-driven architectures , data lakes , and message serialization . Experience with sensor data processing , telemetry ingestion , or mobility data is a plus. Familiarity with Docker , CI/CD , Kubernetes , and cloud-native architectures. Familiarity with building data pipelines & its workflows (eg: Airflow).

About KPI Partners. KPI Partners is a leading provider of data-driven insights and innovative analytics solutions. We strive to empower organizations to harness the full potential of their data, driving informed decision-making and business success. We are seeking an enthusiastic and experienced professional to join our dynamic team as an Associate Director / Director in Data Engineering & Modeling. We are looking for a highly skilled and motivated Associate Director/ Director – Data Engineering & Solution Architecture to support the strategic delivery of modern data platforms and enterprise analytics solutions. This is a hands-on leadership role that bridges technology and business, helping design, develop, and operationalize scalable cloud-based data ecosystems. You will work closely with client stakeholders, internal delivery teams, and practice leadership to drive the architecture, implementation, and best practices across key initiatives. Key Responsibilities Solution Design & Architecture : Collaborate on designing robust, secure, and cost-efficient data architectures using cloud-native platforms such as Databricks, Snowflake, Azure Data Services, AWS, and Incorta. Data Engineering Leadership : Oversee the development of scalable ETL/ELT pipelines using ADF, Airflow, dbt, PySpark, and SQL, with an emphasis on automation, error handling, and auditing. Data Modeling & Integration : Design data models (star, snowflake, canonical), resolve dimensional hierarchies, and implement efficient join strategies. API-based Data Sourcing : Work with REST APIs for data acquisition — manage pagination, throttling, authentication, and schema evolution. Platform Delivery : Support end-to-end project lifecycle — from requirement analysis and PoCs to development, deployment, and handover. CI/CD & DevOps Enablement : Implement and manage CI/CD workflows using Git, Azure DevOps, and related tools to enforce quality and streamline deployments. Mentoring & Team Leadership : Mentor senior engineers and developers, conduct code reviews, and promote best practices across engagements. Client Engagement : Interact with clients to understand needs, propose solutions, resolve delivery issues, and maintain high satisfaction levels. Required Skills & Qualifications 14+ years of experience in Data Engineering, BI, or Solution Architecture roles. Strong hands-on expertise in one of the cloud like Azure, Databricks, Snowflake, and AWS (EMR). Proficiency in Python, SQL, and PySpark for large-scale data transformation. Proven skills in developing dynamic and reusable data pipelines (metadata-driven preferred). Strong grasp of data modeling principles and modern warehouse design. Experience with API integrations, including error handling and schema versioning. Ability to design modular and scalable solutions aligned with business goals. Solid communication and stakeholder management skills. Preferred Qualifications Exposure to data governance, data quality frameworks, and security best practices. Certifications in Azure Data Engineering, Databricks, or Snowflake are a plus. Experience working with Incorta and building materialized views or delta-based architectures. Experience working with enterprise ERP systems. Exposure leading data ingestion from Oracle Fusion ERP and other enterprise systems. What We Offer Opportunity to work on cutting-edge data transformation projects for global enterprises Mentorship from senior leaders and a clear path to Director-level roles Flexible work environment and a culture that values innovation, ownership, and growth Competitive compensation and professional development support

Job Summary This position provides input and support for full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She performs tasks within planned durations and established deadlines. This position collaborates with teams to ensure effective communication and support the achievement of objectives. He/She provides knowledge, development, maintenance, and support for applications. Should pocess knowledge in Java, Spring boot, strong in Google Cloud and exposure to Spanner. Responsibilities: Generates application documentation. Contributes to systems analysis and design. Designs and develops moderately complex applications. Contributes to integration builds. Contributes to maintenance and support. Monitors emerging technologies and products. Qualifications: Bachelors Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field

Job Summary This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Primary Skills - Web Development (.NET, Javascript etc,Angular JS or React JS, SQL, SSIS) Secondary Skills - SQL, Data Engineering (GCP/Azure), Data Modeling

Greetings .....!!! Requirement - Data Engineer Location - Bangalore Mandatory - Data engineer, python, sql 5+yrs experience in Data Engineer is mandatory NP - Immediate to 1week Role & responsibilities Preferred candidate profile

Greetings from Getronics! We have permanent opportunities for GCP Data Engineers in Chennai Location . Hope you are doing well! This is Abirami from Getronics Talent Acquisition team. We have multiple opportunities for GCP Data Engineers for our automotive client in Chennai Sholinganallur location. Please find below the company profile and Job Description. If interested, please share your updated resume, recent professional photograph and Aadhaar proof at the earliest to abirami.rsk@getronics.com. Company : Getronics (Permanent role) Client : Automobile Industry Experience Required : 4+ Years in IT and minimum 3+ years in GCP Data Engineering Location : Chennai (Elcot - Sholinganallur) Work Mode : Hybrid Position Description: We are currently seeking a seasoned GCP Cloud Data Engineer with 3 to 5 years of experience in leading/implementing GCP data projects, preferrable implementing complete data centric model. This position is to design & deploy Data Centric Architecture in GCP for Materials Management platform which would get / give data from multiple applications modern & Legacy in Product Development, Manufacturing, Finance, Purchasing, N-Tier supply Chain, Supplier collaboration Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Storage Transfer Service, Cloud Data Fusion, Pub/Sub, Data flow, Cloud compression, Cloud scheduler, Gutil, FTP/SFTP, Dataproc, BigTable etc. • Build ETL pipelines to ingest the data from heterogeneous sources into our system • Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data • Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets • Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements infrastructure. Skill Required: - GCP Data Engineer, Hadoop, Spark/Pyspark, Google Cloud Platform (Google Cloud Platform) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Compose, Cloud SQL, Compute Engine, Cloud Functions, and App Engine. - 4+ years of professional experience in: o Data engineering, data product development and software product launches. - 3+ years of cloud data/software engineering experience building scalable, reliable, and cost- effective production batch and streaming data pipelines using: Data warehouses like Google BigQuery. Workflow orchestration tools like Airflow. Relational Database Management System like MySQL, PostgreSQL, and SQL Server. Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub. Education Required: Any Bachelors' degree Candidate should be willing to take GCP assessment (1-hour online video test) LOOKING FOR IMMEDIATE TO 30 DAYS NOTICE CANDIDATES ONLY. Regards, Abirami Getronics Recruitment team