Data Engineer

• Contribute to the design and implementation of a data mesh architecture using GraphQL APIs to expose domain-owned data products.
• Build and maintain a modern AWS-based data lake using S3, Glue, Lake Formation, Athena, and Redshift.
• Develop and optimize ETL/ELT pipelines using AWS Glue and PySpark to support batch and streaming data workloads.
• Implement AWS DMS pipelines to replicate data into Aurora PostgreSQL for near real-time analytics and reporting.
• Support data governance, quality, observability, and API design best practices.
• Collaborate with product, engineering, and analytics teams to deliver robust, reusable data solutions.
• Contribute to automation and CI/CD practices for data infrastructure and pipelines.
• Stay current with emerging technologies and industry trends to help evolve the platform.

Senior Data Engineer

Data Engineer

Data Engineer

Junior Data Engineer