Posted on: 26/05/2026
Description :
Role & Responsibilities :
- Design, develop, and optimize scalable ETL/ELT pipelines
- Build reusable data frameworks using Databricks, PySpark, Python, and SQL
- Integrate multiple source systems with high data throughput
- Perform advanced code optimization and performance tuning
- Ensure data quality, governance, and reliability
- Mentor junior engineers and guide technical delivery
- Participate in solution discussions, estimations, and planning
- Maintain detailed technical and operational documentation
- Provide production support and release management support
Mandatory Skills :
Strong hands-on experience with :
- Databricks
- PySpark
- Python
- SQL
- Git
- Experience working on multiple integration systems
- Proven expertise in performance tuning and optimization
- Experience delivering multiple end-to-end data engineering projects
- 5- 8 years of relevant experience
Good to Have :
- Strong knowledge of data modelling (dimensional modelling, schema design)
- Experience with Power BI or reporting tools
- Exposure to cloud platforms (AWS, Azure, or GCP)
- Understanding of CI/CD pipelines
- Experience with Delta Live Tables (DLT)
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1638819