Azure Data Engineer - Con - MFT KGS CH
KPMG (company site, opens in a new tab)Bengaluru, GurugramOn-siteDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deliver scalable data storage and processing solutions using Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks.
- Lead end-to-end data project delivery including requirements gathering, solution architecture, execution, and operational handoff while driving Agile practices.
- Provide technical leadership for complex ETL/ELT pipelines and support AI and GenAI initiatives by managing training datasets, embeddings, and inference pipelines.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field or equivalent experience.
- Experience with Azure cloud services focusing on data storage, data processing, and data warehousing/ETL concepts.
- Hands-on experience with SQL, Python, and PySpark.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Demonstrated leadership skills with experience mentoring and managing Azure Data Engineering teams.
- Strong expertise in Azure data platform components and AI/GenAI data workflows including training data and inference pipeline management.
- Experienced in optimizing data pipelines and solutions for performance, cost efficiency, and sustainability in an Agile delivery environment.