AWS Data Engineer
Core
Designing, developing, and maintaining ETL/ELT data pipelines in Databricks using Spark, integrating with AWS services, and contributing to data lake and warehouse architecture.
Role type
Senior AWS Data Engineer
Builds
Production data pipelines and data lake/warehouse architectures
Domain
Cloud data engineering (AWS, Databricks)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks, Apache Spark, Python, Scala, SQL, AWS data services, ETL/ELT, data modeling, DevOps, Git, workflow orchestration
Preferred skills
AWS Certified Data Engineer, Databricks Certified Data Engineer
Technologies
Databricks, AWS S3, AWS Glue, AWS Lambda, AWS Redshift, Airflow
Responsibilities
Design and maintain ETL/ELT pipelines in Databricks; integrate Databricks with AWS services; contribute to data lake and warehouse architecture; orchestrate workflows; optimize performance and troubleshoot issues; collaborate on data requirements and governance.
