About the Role
We are looking for a talented Mid-Level Databricks Engineer to join a growing data engineering team supporting modern cloud analytics initiatives. This role is ideal for someone with hands‑on experience building pipelines and working with scalable data platforms.
Responsibilities- Develop and maintain ETL/ELT pipelines using Databricks
- Build data workflows using Apache Spark and Delta Lake
- Support ingestion of structured and semi‑structured data sources
- Optimize existing notebooks and jobs for performance
- Collaborate with analytics, BI, and business teams
- Ensure data quality, reliability, and documentation standards
- 2–4 years of experience in data engineering
- 1+ year hands‑on experience with Databricks
- Strong Python and SQL skills
- Experience with Spark transformations
- Exposure to cloud platforms (Microsoft Azure, Amazon Web...
Ready to Apply?
Submit your application today and take the next step in your career journey with KWA Analytics.
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