Job Requirements
Washington, DC
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Job Description
Senior Data Engineer
Build scalable ETL/ELT data pipelines using Python and SQL.
Develop AWS-based data lakes, warehouses, and data platforms.
Integrate data from APIs, databases, files, and enterprise systems.
Work with AWS Glue, S3, Redshift, Spark/Databricks, Airflow, and Kafka.
Build containerized data workflows using Docker.
Support Terraform, Kubernetes, CI/CD, and cloud deployments.
Implement data quality, lineage, governance, monitoring, and security.
Troubleshoot and optimize production data pipelines.
Core requirement: Enterprise Data Engineering + AWS + Python + SQL + ETL/ELT + Docker.
Build scalable ETL/ELT data pipelines using Python and SQL.
Develop AWS-based data lakes, warehouses, and data platforms.
Integrate data from APIs, databases, files, and enterprise systems.
Work with AWS Glue, S3, Redshift, Spark/Databricks, Airflow, and Kafka.
Build containerized data workflows using Docker.
Support Terraform, Kubernetes, CI/CD, and cloud deployments.
Implement data quality, lineage, governance, monitoring, and security.
Troubleshoot and optimize production data pipelines.
Core requirement: Enterprise Data Engineering + AWS + Python + SQL + ETL/ELT + Docker.
group id: 10448332