Roles & responsibilities

•Design, build, and maintain scalable data solutions on Microsoft Azure to support business data needs.

•Develop and manage data pipelines for ingesting, transforming, and integrating data from multiple sources.

•Data modeling for Data warehousing projects to build scalable and reliable Datawarehouse.

•Implement data security, governance, and privacy controls across Azure data platforms.

•Monitor, troubleshoot, and optimize data workflows to ensure reliability, performance, and cost efficiency.

•Optimize data storage and processing solutions by leveraging Azure best practices and services.

An Azure Data Engineer is responsible for designing, building, and maintaining scalable data framework on the Azure data requirements. The role involves developing and managing end‑to‑end data pipelines, integrating data from multiple sources, and ensuring reliable data ingestion, transformation and processing using spark.

The Azure Data

Engineer also implements data security, privacy, and governance controls, monitors and troubleshoots data workflows, and continuously optimizes data storage and processing to achieve high performance and cost efficiency across Azure data platforms

Work Experience

Minimum 6+ years of Azure Data Science experience .

Preferred technical & functional skills

•Provide technical leadership to data engineering teams, including solution design, implementation guidance, and effective client demos and presentations with strong English communication skills.





•Design, develop, and deploy scalable ETL pipelines on Azure using Azure Data Factory, Synapse Analytics, Azure Functions, Notebooks, and related services.

•Solid hands-on experience with Microsoft Fabric, including Medallion Architecture, metadata‑driven ingestion frameworks, data quality frameworks, and SCD Type 1 & Type 2 transformations using Fabric Notebooks or Databricks.

•Exposure to Microsoft Copilot and Generative AI fundamentals, with the ability to identify and apply industry‑relevant AI use cases to data engineering workflows.

- Relevant Microsoft role‑based certifications (DP‑600, DP-700, DP‑203, DP‑900, AI‑102, AI‑900); Power BI (PL‑300) certification is a plus.

•Proficient in Power BI for building dashboards, defining KPIs, and delivering actionable business insights.

•Proficiency in Data modelling and building large scale Datawarehouse design.

•Strong knowledge of Azure RBAC and IAM, with experience implementing access controls, security, and compliance standards.

- Experience with data governance, performance optimization, and cost‑efficient, scalable data solutions on Azure. Familiarity with Azure DevOps, Git, mentoring junior team members, and managing data engineering projects in consulting environments. Strong alignment with Microsoft’s vision and roadmap, with an eagerness to adopt emerging tools across the data and AI ecosystem

Location

Bangalore/Pune/Hyderabad

📌 KDNI_Consulting_Azure Data Engineer (Bengaluru)
🏢 KPMG
📍 Bengaluru