Manager | Databricks | Mumbai | Engineering | Data Modernization & Migration
Deloitte (company site, opens in a new tab)9–12 yrsMumbaiOn-siteDirect career pageEst. 28–45 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data engineering solutions using Databricks and Lakehouse architecture.
- Build and optimize batch and real-time data pipelines with PySpark, Spark SQL, and Delta Lake for enterprise-scale deployments.
- Collaborate with cross-functional teams to deliver production-grade data solutions, including monitoring, security, and mentoring junior engineers.
Minimum Requirements
- 9-12 years IT experience with at least 4+ years hands-on Databricks and Spark development.
- Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field.
- Proficient with Databricks Lakehouse Platform, Delta Lake, PySpark, Spark SQL, and distributed data processing.
- Experience with cloud platforms (Azure, AWS, or GCP) and data engineering tools relevant to the role.
Ideal Candidate Profile
- Senior data engineer with deep expertise in Databricks, Lakehouse, and distributed data processing architecture.
- Experience leading enterprise-scale data modernization and migration projects with strong performance optimization skills.
- Comfortable working across cloud ecosystems and collaborating with data scientists, analysts, and architects in agile environments.