Assistant Manager - Azure Data Engineer
KPMG (company site, opens in a new tab)Bengaluru, PuneOn-siteDirect career pageEst. 14–28 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain data pipelines and solutions using Databricks, Apache Spark, and related tools to process large datasets and derive actionable insights.
- Build metrics decks and dashboards for key performance indicators (KPIs) including developing underlying data models.
- Design, implement, and maintain platforms for secure access to large datasets and collaborate with business owners to translate requirements into data-driven solutions.
Minimum Requirements
- Bachelor’s degree in computer science, data science, engineering, mathematics, information systems, or related technical discipline.
- Detailed knowledge of data warehouse technical architectures, data modeling, ETL/ELT, reporting/analytics tools, and hands-on SQL coding.
- Proficiency in Python and experience with Databricks (including DBX notebooks, SQL, Python/Spark, Unity Catalog, Workflow, Autoloader, delta sharing).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced with end-to-end data engineering using Databricks and Apache Spark in large data environments.
- A data engineer capable of both technical development (pipelines, models) and collaborating with business stakeholders to implement data solutions.
- Skilled in building metrics frameworks and dashboards to support business KPIs and analytics-driven decision making.