AWS Data Engineer
Core
Design, develop, and maintain automated ETL pipelines and orchestrate data flows for Fortune 500 clients in financial, healthcare, and manufacturing sectors.
Role type
Senior AWS Data Engineer
Builds
Automated ETL pipelines, data warehouse models, and CI/CD processes for cloud-native data solutions
Domain
Cloud Data Engineering, Financial Services, Healthcare, Manufacturing
Deliverable
production ML models
Required skills
Python, SQL, Apache Airflow, AWS (S3, ECS, IAM), Snowflake, DBT, GitHub Actions, Jinja
Preferred skills
AWS Lambda, API integrations (Salesforce, SFTP), CloudWatch, Datadog, AI IDE tools
Technologies
Python, Apache Airflow, Snowflake, AWS, DBT, GitHub, Jinja, S3, ECS, Lambda, CloudWatch, Datadog
Responsibilities
Design and maintain automated ETL pipelines using Python and Apache Airflow; Optimize complex SQL queries for Snowflake; Implement CI/CD processes using GitHub; Troubleshoot and fix data pipeline errors; Generate code using Python and Jinja templates; Export/Import data from/to S3 in various formats.
Seniority
Senior, hands-on IC
