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Data Engineer building and optimizing ETL/ELT pipelines with SQL and Python to create analytics-ready datasets for the Analytics team.
Senior Data Engineer designing and implementing Azure data solutions, migrating legacy SSIS packages and on-premises workloads to Azure cloud using Data Factory, Synapse, Databricks, ADLS, Python, and SQL.
Senior Data Engineer designing and maintaining Snowflake-based ETL/ELT pipelines with SnapLogic and dbt, working US hours from Hyderabad.
Lead Azure Databricks Engineer designing, building, and optimizing scalable ETL/ELT data pipelines using Azure Databricks, PySpark, SQL, and Python on the Azure platform.
Lead and hands-on build data & analytics solutions using Databricks, Informatica, and Tableau on AWS for Eisai's global pharmaceutical data platform, driving BI, AI, and data democratization.
Data Engineer designing, building, and supporting scalable data pipelines and integration solutions using Databricks, Spark/PySpark, SQL, and Azure data services for a major North American bank's tech hub in Hyderabad.
Design and build data pipelines and data models on Azure, Databricks, Snowflake, and Postgres to support AI/ML and computer-vision workflows for a digital transformation services company.
Senior Data Engineer building and maintaining data pipelines, data warehouses, and BI dashboards primarily on Azure and Microsoft Fabric using SQL, Python, and PySpark.
Senior Data Engineer designing and maintaining enterprise-scale data ingestion and integration solutions using Microsoft Fabric, Azure Data Services, SQL Server, and ETL/ELT pipelines.
Lead Data Engineer designing and building scalable data pipelines and ETL/ELT architectures on cloud platforms using Apache Spark, SQL, and Python.
Build and optimize enterprise data integration pipelines using Informatica IDMC (CDI/CAI), SQL, Python, and Unix/Linux scripting in an offshore delivery environment.
Senior Data Engineer building scalable cloud data pipelines and modernizing enterprise data platforms using Python, SQL, and cloud services (Azure/AWS/GCP) with tools like Databricks, Snowflake, and Spark.
Design, develop, and maintain scalable data pipelines and architectures using Azure Data Factory, Databricks, Snowflake, Denodo, Python, and SQL to deliver data for reporting and insights.
Lead Data Engineer architecting cloud-native data platforms (data lakes, lakehouses, warehouses) for PE portfolio companies, using tools like Databricks, Snowflake, Azure Synapse, dbt, and AI tooling to build AI-ready analytics infrastructure.
Senior Data Engineer designing and building cloud-native data platforms (Snowflake, Databricks, BigQuery, etc.) with ELT/ETL pipelines, CI/CD, and AI-ready infrastructure for a financial consulting firm serving private equity portfolio companies.
AWS Data Engineer at TCS responsible for designing, building, and optimizing scalable data pipelines and analytics solutions on AWS using services like Glue, S3, EMR, Redshift, Databricks, and PySpark.
Postgres/SQL Data Engineer building scalable database queries, ETL/ELT pipelines, stored procedures, and DAX calculations using PostgreSQL, SQL, and Power Query.
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.
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.
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