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 onpremises 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 PySparkbased Glue jobs.
Optimize Spark workloads for performance, memory usage, and cost efficiency in AWS Glue settings. Role & responsibilities

Preferred candidate profile

📌 Aws Data Engineer Bengaluru
🏢 Tao Digital
📍 Bengaluru