Senior Data Engineer
Job Summary
Designing and optimizing enterprise data products, the full-time Senior Data Engineer will develop scalable data solutions on Databricks while working remotely.
Key responsibilities
- Design and develop scalable Spark-based ETL and ELT pipelines using Medallion Architecture
- Build native Databricks solutions and implement automated deployment pipelines
- Collaborate with cross-functional teams and mentor junior engineers to drive best practices
Required qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
- 7+ years of Data Engineering experience, including 3+ years of hands-on Databricks experience
- Strong expertise in Apache Spark (PySpark and SQL) and Delta Lake architecture
- Experience building enterprise-scale ETL/ELT pipelines and working with Azure cloud services
- Advanced SQL development skills and familiarity with Git, CI/CD, and DevOps practices
Complete Job Description
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