Bachelor's degree in Computer Science, Engineering, or a related field., Proficiency in SQL and experience with data warehousing solutions., Familiarity with programming languages such as Python or Java., Experience with ETL tools and data pipeline development..
Key responsibilities:
Design and implement scalable data pipelines to support analytics.
Collaborate with data scientists and analysts to understand data needs.
Monitor and optimize data systems for performance and reliability.
Ensure data quality and integrity throughout the data lifecycle.
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