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Senior Data Engineer owning an Azure-based data platform—building ETL/ELT pipelines and a master data quality layer to produce trusted golden records from messy multi-system data.
Senior Data Engineer building and operating ETL/ELT pipelines in Azure and Databricks using Python, PySpark, and SQL for a wealth management platform's billing team in Hyderabad.
Design, build, and optimize scalable Snowflake-based data solutions in the cloud, collaborating with analysts and scientists on ETL/ELT pipelines and modern data warehouse architecture.
Build and maintain scalable data pipelines using Spark, Scala, Airflow, and Azure Databricks in a hybrid role based in Bengaluru. Work with modern data lakehouse technologies, containerization, and CI/CD practices.
Senior Data Engineer / AI Data Platform Engineer building data pipelines and AI platforms using Python, Spark, Airflow, Databricks on AWS, and GenAI/LLM/RAG technologies.
Design, build, and support scalable data pipelines and integration solutions for a major bank using Databricks, Spark/PySpark, SQL, and Azure data services to enable analytics and reporting.
Data engineer handling ETL processes, data warehousing, and provider credentialing operations using SQL, Python, and data visualization tools for a healthcare benefits company on a US night shift.
Senior Data Engineer building scalable ETL pipelines and data platforms using Apache Spark/PySpark on AWS services like Glue, S3, and Athena for Cloudwick's Amorphic Data Cloud.
Design and build end-to-end data engineering solutions on Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines) and Azure (ADLS Gen2, ADF, Synapse) using PySpark and SQL, with CI/CD via Azure DevOps.
Senior Data Engineer building and operating production-grade data pipelines on AWS (S3, Glue, EMR, Redshift, Lambda) using Python and SQL, with Airflow, Delta Lake, and streaming tools, for a political/policy research analytics firm in Bangalore (hybrid).
Senior Data Engineer designing and building scalable, cloud-native data pipelines and platforms using Python, Apache Airflow/Google Cloud Composer, and GCP to power analytics, reporting, and ML.
On-site Microsoft Fabric Data Engineer in Noida (evening shift 2–11 PM IST) building and supporting data pipelines, Lakehouse architectures, and Power BI semantic models using Python, PySpark, and SQL.
Senior Data Engineer designing and implementing scalable data warehouse and data engineering solutions, managing data schemas, SQL tuning, and code reviews using Azure, Snowflake, Kafka, DBT, and Python.
Senior Data Engineer designing, building, and operating data pipelines and a lakehouse platform on Databricks and Microsoft Fabric using Spark, Python, and SQL.
Data Engineer designing and maintaining scalable data integration pipelines using Informatica IDMC (CDI/CAI), with SQL, Python, and Unix/Linux scripting on cloud platforms like Oracle OCI, Databricks, or Azure in an offshore delivery model.
Senior Snowflake Data Engineer designing, building, and optimizing scalable data solutions in enterprise environments using Snowflake, Python, and SQL.
Data Engineer building and operating Azure/Databricks billing data pipelines using Python, PySpark, and SQL for a wealth management platform in Hyderabad.
Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and API integration solutions using SQL, REST APIs, and cloud platforms (Azure/AWS) to support enterprise data and automation initiatives.
Data Engineer building and optimizing Snowflake-based data pipelines and ETL/ELT workflows for banking/financial services clients. Core tech: Snowflake, SQL, Python, and cloud platforms (AWS/Azure/GCP).
Senior/Lead Data Engineer designing and developing scalable ETL data pipelines using Azure Databricks, Data Factory, Data Lake, Synapse, and Azure SQL DB, with SQL, Python, and PySpark.
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