Databricks - Sr Technical Lead-Data Engg
Birlasoft (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 18–32 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Architect, develop, and optimize enterprise-grade data platforms and data pipelines on Azure using Databricks, PySpark, ADF, and SQL.
- Build and maintain scalable ELT/ETL pipelines and ingestion frameworks handling structured, semi-structured, and unstructured data from diverse sources.
- Implement data quality, schema validation, business logic, and governance controls aligned with Unity Catalog standards, collaborating with stakeholders to ensure reliable production-ready solutions.
Minimum Requirements
- Strong hands-on expertise in Databricks, PySpark, Azure Data Factory (ADF), and SQL.
- Proven experience building and optimizing scalable ELT/ETL data pipelines with modern data engineering frameworks.
- Experience with Delta Lake capabilities (ACID transactions, schema enforcement, time travel) and data governance including Unity Catalog.
- Work Experience Required: Not explicitly mentioned in the JD. Location: Pune, India required as per job location.
Ideal Candidate Profile
- Experienced in architecting and operationalizing large-scale enterprise data platforms on Azure leveraging Databricks and related cloud services.
- Comfortable working closely with IT, business teams, and cross-functional stakeholders to translate requirements into effective data engineering solutions.
- Strong technical leader capable of guiding junior engineers and managing complex data workflows and quality assurance frameworks.