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Senior Data Engineer on a 12-month contract focused on Python, SQL, PySpark, Apache Spark, and Cloud technologies, with a preference for Chennai-based candidates for face-to-face discussions.
Data Engineer building and scaling enterprise-grade data pipelines and streaming architectures using Scala, Apache Spark, SQL, Apache Kafka, and cloud platforms (GCP/AWS/Azure).
Lead GCP Data Engineer designing and deploying end-to-end data lake and analytics solutions on Google Cloud Platform for industrial and government sector clients, including pre-sales and proposal/bid work.
Lead Data Engineer designing and optimizing scalable ETL/ELT pipelines on Azure Databricks using PySpark, SQL, and Python, working with Delta Lake, ADLS, and Azure Data Factory.
Technical Lead for Data Engineers building and maintaining data pipelines using DBT Core and Amazon Redshift, with Airflow orchestration. Responsible for technical direction, code quality, and problem-solving across the data engineering pod.
Build and maintain web scrapers for alternative datasets, clean and transform data using Python/Pandas, and ingest it into databases/warehouses with Airflow scheduling—supporting an asset management firm's investment decisions.
Senior Databricks Data Engineer responsible for migrating enterprise data platform from Informatica to Azure Databricks, developing data pipelines using PySpark and SQL, and implementing Delta Lake architecture with Medallion principles.
Design, build, and support scalable data pipelines and integration solutions using Azure Databricks, Spark/PySpark, and Delta Lake for a major bank's analytics, reporting, and risk management needs.
Data Engineer building scalable data ingestion and integration pipelines on Adobe Experience Platform (AEP) and Google Cloud Platform (GCP), collaborating with architects to deliver production-ready data solutions for enterprise customer data ecosystems.
Lead Data Engineer building data pipelines for analytics and data science use cases on Big Data platforms, primarily using Spark, Scala, Hadoop, and Hive.
Senior AWS Data Engineer building data lake and database solutions on AWS (Glue, Lambda, Redshift, S3, Kafka), integrating multi-channel campaign platforms like Adobe Campaign and Salesforce Marketing Cloud for Omnicom's marketing technology delivery team.
Senior Data Engineer primarily remote, building scalable PySpark/Databricks pipelines, integrating datasets into a Lakehouse, and implementing governance via Unity Catalog — with occasional onsite weeks in Bengaluru.
Data Engineer owning and extending a Databricks Lakehouse (medallion pipelines, Unity Catalog) that powers AI agent products for higher education clients, using Spark/PySpark, Python, SQL, and AWS.
Lead Data Engineer providing hands-on technical leadership for Oracle GoldenGate CDC replication solutions, moving data from on-prem/AWS to Azure Fabric with 10+ years of experience required.
Lead Data Engineer designing and maintaining large-scale data platforms, data lakes, and cloud solutions for a bank; builds ETL/ELT data pipelines using Snowflake, AWS, SQL, and tools like IBM DataStage and DBT to support enterprise data warehousing.
Data Engineer building and optimizing big data pipelines and analytics on a litigation e-discovery platform, using NoSQL databases, scripting languages (Ruby/Python), AWS cloud, Elasticsearch, and Tableau.
Senior Data Engineer building scalable data infrastructure, ETL/ELT pipelines, and data warehousing solutions using Azure Data Factory, Databricks, Snowflake, Redshift, and SQL to power BI and analytics for business users.
Lead Data Engineer designing and developing scalable batch and streaming data pipelines using Apache Spark, PySpark, and Databricks, with data modeling and integration responsibilities to support BI and analytics tools.
Lead Data Engineer architecting scalable data pipelines and ELT processes using Databricks, Apache Spark, and Delta Lake, while mentoring a team of engineers at a data-focused technology services company.
Senior Data Engineer leading BI Analytics & DWH initiatives—designing ETL/ELT pipelines, data models, and scalable data platforms using Snowflake, Databricks, Azure Data Factory, and Python, while mentoring engineers and partnering with BI teams.
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