Job Summary
A company is looking for a Senior Data Engineer to take ownership of data infrastructure and build scalable data pipelines.
Key Responsibilities
- Architect and build scalable ELT/ETL pipelines using Databricks, Spark, and Python
- Lead and mentor a team of data engineers, providing technical direction and support
- Ensure data integrity through comprehensive testing frameworks and data validation rules
Required Qualifications
- Bachelor's or master's degree in computer science, engineering, or a related field
- 7+ years of hands-on experience in data engineering, focusing on Databricks and Apache Spark
- Expert-level proficiency in Python and a strong understanding of data structures and algorithms
- Deep expertise in SQL and Spark SQL, with experience in optimizing complex analytical queries
- Hands-on experience with the Databricks ecosystem, including Delta Lake and Data frame APIs
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