Senior Consultant | Databricks + Pyspark | Mumbai | Engineering | Data Modernization & Migration
Deloitte (company site, opens in a new tab)5–7 yrsMumbaiOn-siteDirect career pageEst. 18–28 LPA
Posted 16h ago
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
Reach people at Deloitte
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 Deloitte you could write to:
- Recruiters & HR
- People in this function
- Work addresses
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
- Lead design and optimization of high-performance data processing frameworks on Azure Databricks.
- Drive advanced Spark performance tuning and implement robust data governance using Unity Catalog.
- Architect scalable Medallion Architectures and automate CI/CD pipelines for Databricks environments.
Minimum Requirements
- 5–7 years of experience in data engineering with deep expertise in Azure Databricks and Apache Spark.
- Advanced experience with Delta Lake, Medallion Architecture, and Spark performance tuning.
- Experience with Unity Catalog for data governance and security.
- Location requirement: Mumbai (Hybrid).
Ideal Candidate Profile
- Demonstrated ability to lead technical delivery and mentor junior engineers in complex data engineering projects.
- Expertise in designing and optimizing Medallion Architectures and handling Spark workload optimizations to reduce costs.
- Familiarity with Infrastructure as Code (Terraform) and DataOps practices for automating data engineering environments.