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Assistant Manager - Azure Data Engineer
Bengaluru · Senior
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What we know about this role
HIGH
KPMG India is actively reviewing profiles and moving candidates through the pipeline right now.
First 72 hours
Window passed - posted 3d agoEarly applicants get seen before the pile builds.
Reposted role
This role was posted earlier, closed, and has now reopened - the company is accepting candidates again.
First posted Sep 10, 2026
Skills required
8 listedYou almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
Job description
Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
Proficient in programming languages: Python
Experienced with Databricks designing, developing, and maintaining data pipelines and solutions using Databricks, Apache Spark, and other related tools (Unity Catalog, Workflow, Autoloader, delta sharing) to process large datasets and extract actionable business insights.
Databrick (e.g., DBX notebooks, SQL, Python/Spark, asset bundles, GIT, etc.)
Experience building metrics deck and dashboards for KPIs including the underlying data models.
Understand how to design, implement, and maintain a platform providing secure access to large datasets
Experienced with Databricks designing, developing, and maintaining data pipelines and solutions using Databricks, Apache Spark, and other related tools (Unity Catalog, Workflow, Autoloader, delta sharing) to process large datasets and extract actionable business insights.
Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Proven track record partnering with business owners to understand requirements and developing analysis to solve their business problems
Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analysis
Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
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