:
AWS Data Engineer Mandatory Skills :
- Python, PySpark, SQL
- AWS Data Services : Glue, Lambda, Athena, S3, EventBridge
- Amazon MWAA (Managed Workflows for Apache Airflow)
- Infrastructure as Code (IaC) with Terraform
Good to Have :
- Amazon QuickSight, Power BI, or other data visualization/reporting tools
Key Expectations :
- Solid hands-on experience and sound theoretical understanding of the above technologies, including architecture, internal workings, and best practices
- Experience designing, developing, and maintaining scalable, cloud-native data solutions
- Proven experience building end-to-end data pipelines from source systems through ingestion, transformation, orchestration, storage, and delivery of business-ready data products
- Ability to independently troubleshoot, optimize, and implement data engineering solutions in AWS environments
📌 Coforge - Senior Data Engineer - AWS (India)
🏢 Coforge
📍 India