Data Engineering Lead
3 weeks ago
Key Responsibilities:
- Lead the design and implementation of large-scale data processing systems using Apache Spark Scala.
- Develop and maintain complex ETL pipelines using Scala and Spark.
- Collaborate with cross-functional teams to ensure data quality and integrity.
- Maintain and optimize existing data processing systems for high performance and scalability.
Requirements:
- At least 10 years of experience in big data skills.
- Strong expertise in Apache Spark Scala development.
- Excellent SQL concepts and Unix skills.
- Experience with ETL tools like Data Stage and Spark/Scala.
- Proficient in Agile Methodology - Scrum boards.
- Experience with Jenkins, Autosys, and GitHub.
- Cloud experience, preferably on Azure.
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