Aws Data Engineer

Key Responsibilities

Technical Leadership & Platform Ownership

• Serve as the technical lead and design authority for AWS data engineering initiatives across multiple enterprise platforms.
• Own architectural decisions related to scalability, reliability, security, and cost optimization of AWS data platforms.
• Define and enforce engineering standards, coding patterns, and operational best practices for cloud data pipelines.
• Provide handson technical guidance, design reviews, and code reviews for data engineers.

AWS Data Platform Engineering

• Lead the design, development, and support of cloudnative data pipelines using Amazon S3, AWS Glue (PySpark), MWAA (Apache Airflow), and AWS Step Functions.
• Drive on****premises to AWS data platform migrations, including reverse engineering of legacy ETL workflows and reimplementation using AWSnative services.
• Rearchitect legacy *Oracle Data Integrator (ODI)*based ETL processes into scalable PySpark*based Glue jobs*.
• Optimize Spark workloads for performance, memory usage, and cost efficiency in AWS Glue environments. Role & responsibilities

Preferred candidate profile