Digital Finance -Azure Data Engineer - Senior
KPMG (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and support Azure-based data solutions to improve operational efficiency and data integrity.
- Build and automate ETL workflows and data pipelines using Azure Data Factory, Azure Synapse, Azure Databricks, and AWS Glue.
- Collaborate with global stakeholders and cross-functional teams to develop data-driven strategies and customized cloud data solutions.
Minimum Requirements
- 4+ years of relevant work experience as a Data Engineer, including client-facing roles involving business process improvement and technology implementation.
- Bachelor's degree (B. Tech) or MBA from a recognized Tier-1 institute.
- Data Engineer professional certification is required.
- Experience with Azure and AWS cloud platforms including tools such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and AWS Glue.
Ideal Candidate Profile
- Experienced in consulting environments (preferably Big 4 or similar) with exposure to client interactions and business process improvements.
- Strong technical skills in Python, PySpark, and SQL to handle complex data analysis and automation.
- Capable of translating technical solutions to non-technical global stakeholders aligning with business and strategic objectives.