| Job Title | Senior Engineer (SA1 DES – Azure Data Engineer) |
| Company Name | KPMG Global Services (KGS) |
| Job ID | 30026119 |
| Job Category | Data Engineering / Technology |
| Location | Bangalore, Karnataka, India |
| Work Location | 5th Floor, Tower 30, RMZ Hetero Nexity, Hyderabad, Telangana – 500081 |
| Employment Type | Full-Time |
| Job Level | Senior Associate 1 |
| Posting Date | 23 September 2026 |
| Apply Before | 30 September 2026 |
| Role Overview | Develop and manage scalable Azure data solutions, ETL pipelines, data warehouses, analytics, and dashboarding solutions for Audit Data & Analytics. |
| Azure Data Engineering | Build and maintain data pipelines using Azure Data Factory, Azure Databricks, ADLS, and Azure Synapse Analytics. |
| Databricks & Data Governance | Develop Databricks notebooks, transformations, tables, data quality processes, and use Unity Catalog for governance. |
| ETL & Data Integration | Extract, transform, and integrate large datasets from SAP, Oracle, Microsoft Dynamics, and other sources. |
| Gen AI / Microsoft Fabric | Experience with Azure AI services and willingness to integrate Gen AI; Microsoft Fabric experience is an advantage. |
| Power BI | Develop dashboards and reports using Power BI, DAX, Power Query, RLS, and advanced data models. |
| Data Modeling | Work with star and snowflake schemas, multiple fact/dimension tables, data analysis, and business insights. |
| Experience Required | 4–6 years of experience in Data Engineering |
| Education | B.Tech / B.E / MCA in Computer Science, Information Technology, or related field |
| Primary Skills | Azure, Databricks, Azure Data Factory, ADLS, Synapse, SQL, Python/PySpark, ETL |
| Secondary Skills | Power BI, DAX, Power Query, Data Modeling, Microsoft Fabric |
| Key Requirements | Strong analytical and problem-solving skills, attention to detail, communication, adaptability, teamwork, and ability to work within tight timelines |
