Senior Engineer (SA1 DES - Azure Data Engineer)
KPMG (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain scalable data pipelines and data warehouses on Azure using Databricks, Data Factory, Data Lake Storage, and Synapse Analytics for Audit Data & Analytics.
- Ensure data quality, consistency, and governance, leveraging Unity Catalog and implement ETL processes for large datasets from client ERP systems.
- Design and deliver Power BI reports and dashboards with complex data modeling and visualizations, incorporating Gen AI integration and Azure AI services where applicable.
Minimum Requirements
- 4-6 years of experience in Data Engineering.
- Proficiency in SQL and Python or PySpark notebooks development.
- Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and comprehensive knowledge of Azure cloud services.
- Bachelor's degree in Engineering (B.Tech/B.E) or MCA in Computer Science or Information Technology.
Ideal Candidate Profile
- Experienced in working with complex ETL pipelines and large-scale data solutions within Azure cloud environments, especially Databricks and Data Factory.
- Skilled in advanced Power BI development including DAX expressions, Power Query, and designing star/snowflake schema data models.
- Comfortable adapting and integrating emerging technologies such as Microsoft Fabric and Azure AI/Gen AI services into analytics solutions.