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Data Engineer building ETL pipelines on AWS using PySpark, SQL, Airflow, and services like S3, EMR, and Glue.
Data Engineer building scalable data pipelines and enterprise integrations using Adobe Experience Platform (AEP) and AWS to enable trusted customer data across digital ecosystems.
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.
Senior Data Engineer building data pipelines and ETL workflows on AWS and Databricks, working with big data technologies like Spark, Snowflake, and Airflow in a media-domain context.
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 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.
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.
AWS Data Engineer building scalable cloud-native data platforms, designing ETL pipelines with AWS Glue/PySpark, orchestrating workflows via Step Functions and EventBridge, and automating infrastructure with Terraform on S3-based Data Lakes.
Build and optimize scalable data pipelines and ETL/ELT workflows for large datasets using Python and SQL on GCP/AWS, focusing on identity resolution and ID graph systems.
Senior Data Engineer designing, developing, and maintaining scalable ETL/ELT data pipelines and cloud-based data integration solutions using AWS or Azure, SQL, and Python.
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.
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, building, and operating data pipelines and a lakehouse platform on Databricks and Microsoft Fabric using Spark, Python, and SQL.
Data Engineer designing and maintaining Spark/PySpark ETL pipelines on AWS (S3, Glue, Redshift, Athena), building BI dashboards, and optimizing cloud costs and query performance.
Data Engineer at GMG designing and maintaining scalable ETL pipelines using AWS (Glue, Lambda, Athena, Redshift, S3, SNS) and Databricks with PySpark and SQL, with emphasis on performance tuning, cost optimization, and security governance.
Data Engineer building production AWS data pipelines (ETL, medallion lakehouse, lineage) for Qubitz, an agentic AI platform serving regulated enterprise clients.
Data Engineer designing and building data pipelines, ETL/ELT processes, and data models using Azure Data Factory, SQL, and big data technologies to support analytics and business insights.
AWS Data Engineer building and optimizing scalable data pipelines and cloud data solutions using AWS Glue, S3, Redshift, Lambda, Python, SQL, and PySpark in Chennai.
AWS Data Engineer designing, developing, and maintaining scalable cloud-native data engineering solutions on AWS. Builds ETL/ELT pipelines and modern data platforms using AWS Glue, S3, Redshift, Lambda, PySpark, Python, and Snowflake for global insurance clients.
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