We are seeking a seasoned Senior Data Engineer to design, build, and optimize our next-generation data platform. The ideal candidate is a Spark expert with a deep understanding of the AWS ecosystem and a passion for automation.
Requirements
- Minimum 4+ years of hands-on experience in active Big Data environments and 2+ years specializing in Data Analytics within AWS.
- Expert-level proficiency in Spark, Python, and SQL.
- Proven experience with Airflow for orchestration and Docker/ECS for containerization.
- Good knowledge in Databricks and data mesh architectures.
- Good understanding in how to implement and maintain Lakehouse data models (bronze / silver / gold layers) using Delta Lake for reliability, ACID transactions, time travel and schema evolution.
Benefits
- Competitive salary
- Benefits package
- Opportunity to work with a leading company in the industry
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