Design and build Spark data ETL pipelines on the 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 and maintain robust data infrastructure using modern data‑platform architecture.
Ensure data quality and reliability.
Innovate and follow best practices.
Maintain operational excellence of the data platform, including monitoring, incident response, performance optimization, and continuous improvement.
Qualifications
Professional experience in data warehousing, data architecture, and/or data engineering environments, especially with Spark, Hadoop, Hive, and streaming pipelines.
Proficiency in at least one high‑level programming language (Scala, Java, Py...
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