What You’ll Do

• Design and build Spark data ETL pipelines on AWS data platform.


• Collaborate with cross‑functional teams such as data scientists, fraud, marketing and other business stakeholders to understand their data needs and deliver reliable solutions.


• Optimize data infrastructure – Design and maintain robust data infrastructure by using modern data platform architecture.


• Ensure data quality and reliability.


• Innovate and follow best practices.


• Ensure operational excellence of the data platform, including monitoring, incident response, performance optimization, and continuous improvement.

Who We’re Looking For (Must Haves)

• Professional experience working in data warehousing, data architecture, and/or data engineering environments, especially using Spark, Hadoop, Hive, etc., with solid understanding of streaming pipelines.
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