Databricks & PySpark - Sr Technical Lead-Data Engg
Birlasoft (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 18–30 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Architect, develop, and optimize scalable data platforms and ELT/ETL pipelines on Azure using Databricks, PySpark, ADF, and SQL.
- Implement complex data transformations, data quality checks, and schema validations ensuring enterprise-grade data ingestion from diverse sources including on-premise, cloud systems, and APIs.
- Collaborate with cross-functional teams and stakeholders to deliver analytics-ready data models and solutions aligned with business objectives.
Minimum Requirements
- Strong hands-on expertise in Databricks, PySpark, Azure Data Factory (ADF), and SQL.
- Experience building enterprise-grade data pipelines and modern data platforms on Azure.
- Work Experience Required: Not explicitly mentioned in the JD.
- Location: India - Pune (Onsite at Birlasoft Office - Hinjawadi).
Ideal Candidate Profile
- Experienced with advanced Delta Lake features (ACID transactions, schema enforcement, evolution, time travel) and performance tuning on Databricks clusters.
- Proficient in designing dimensional models (star/snowflake schemas) and implementing data governance frameworks using Unity Catalog with RBAC/ABAC controls.
- Able to mentor junior engineers and collaborate effectively with architects, product owners, IT, and business teams to align data engineering solutions with strategic business needs.