Job Summary
A company is looking for a Senior Data Engineer ETL to manage and enhance their data infrastructure.
Key Responsibilities
- Design, implement, and optimize scalable ELT/ETL pipelines using Databricks, Spark, and Python
- Guide and mentor a team of data engineers while ensuring high-quality code through reviews
- Develop testing frameworks and validation rules to maintain data integrity and troubleshoot issues
Required Qualifications
- Bachelor's or master's degree in computer science, engineering, or a related field
- 7+ years of experience in data engineering, focusing on Databricks and Apache Spark
- Expert proficiency in Python and strong understanding of data structures and algorithms
- Deep expertise in SQL and experience with complex analytical queries
- Hands-on experience with the Databricks ecosystem, including Delta Lake and Data frame APIs
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