BI Developer – Databricks
Lister Digital (company site, opens in a new tab)10+ yrsGurugramOn-siteDirect career pageEst. 20–32 LPA
Posted on 16 Sept
Reach people at Lister Digital
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Lister Digital you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain enterprise-grade Databricks data pipelines and analytical solutions across Bronze, Silver, and Gold Medallion Architecture layers.
- Build and optimize ETL/ELT workflows ingesting data via PySpark, Delta Lake, and SQL for BI consumption, ensuring scalable, performant, and governed pipelines.
- Develop Power BI reports/dashboards connected to Databricks SQL endpoints, while managing Unity Catalog for data governance and performing Databricks performance tuning.
Minimum Requirements
- Minimum 10 years of BI and data engineering experience with hands-on Databricks expertise in production enterprise environments.
- Proficiency with Databricks platform including PySpark, Delta Lake, Databricks SQL, Notebooks, Workflows, and Unity Catalog.
- Strong skills in Power BI (including DAX, data modeling) and Azure services such as Azure Data Factory and Azure Data Lake Storage.
- Experience designing and implementing dimensional models (star and snowflake schema) and Medallion Architecture data layers.
Ideal Candidate Profile
- Experienced in end-to-end BI solutions combining advanced Databricks data engineering and Power BI analytics in large enterprise contexts.
- Strong operational expertise with Azure cloud data services and governance frameworks, notably Unity Catalog.
- Details-oriented with demonstrated ability to optimize large-scale data pipelines for performance, cost, and data quality.