Data & Analytics Engineer - AD
KPMG (company site, opens in a new tab)12+ yrsBengaluru, PuneOn-siteDirect career pageEst. 35–55 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Own and lead development and management of data pipelines using Databricks technologies including medallion architecture, Lakehouse, genie, and unity catalog.
- Lead client projects and technical teams/pods, including work estimation and project delivery oversight.
- Handle processing of large volumes of data with strong focus on data modeling, warehousing, and Slowly Changing Dimensions (SCD) approaches.
Minimum Requirements
- Must have 12+ years of professional experience in data engineering with a focus on Databricks.
- Proficiency in Python, SQL, and Spark programming.
- Experience working with capital markets or investment management clients.
- Location requirement: Bangalore.
Ideal Candidate Profile
- Experienced leader capable of managing client projects and leading technical teams/pods in a data engineering context.
- Deep hands-on expertise in Databricks platform components including data pipelines and Lakehouse architecture.
- Background in capital markets or investment management domain preferred for effective client engagement.