AWS Data Engineer

Job Details: Must Have Skills: Python, SQL, Airflow, Terraform, Glue, Lambda, Step Functions, MWAA, S3, Athena Nice to Have Skills: Any Data related skills Role Summary: Build and maintain scalable, automated data pipelines for ingestion, transformation, and processing. Ensures reliable and timely data availability for analytics and AI use cases. Key Responsibilities: • Develop ETL/ELT pipelines using Glue, Airflow, Step Functions • Implement data transformations and orchestration • Ensure data quality, PII handling, and pipeline reliability Business/Tech Impact: Drives data availability and freshness for downstream BI and AI systems, directly impacting decision-making speed. Reduces manual intervention through automation and standardized pipeline patterns. Minimum Years of Experience: 10+ Years Certifications Needed: NA Top 3 responsibilities you would expect the Subcon to shoulder and execute  Develop ETL/ELT pipelines using Glue, Airflow, Step Functions • Implement data transformations and orchestration  Ensure data quality, PII handling, and pipeline reliability