Design data mesh architecture exposing domain data via GraphQL APIs.
Build and maintain an AWS data lake on S3, Glue, Lake Formation, and Redshift.
Develop and optimize ETL/ELT pipelines with AWS Glue and PySpark.
Implement AWS DMS pipelines to replicate data into Aurora PostgreSQL for real-time analytics.
Support data governance, quality, observability, and API design best practices.
Collaborate with product, engineering, and analytics teams to deliver robust data solutions.

🎯 Requirements

Bachelor’s degree in Computer Science, Mathematics, or related field.
At least 4 years of data engineering experience with ownership of complex data systems.
Strong experience with AWS data lake technologies (S3, Glue, Lake Formation, Athena, Redshift).
Understanding of data mesh principles and decentralized data architecture.
Proficiency in Python, SQL.
Experience with data modeling, orchestration tools (Airflow), and CI/CD pipelines.

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