Azure Data Engineer - A Con- MFT KGS CH
KPMG (company site, opens in a new tab)Bengaluru, GurugramOn-siteDirect career pageEst. 18–35 LPA
Posted 18h 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, Data Lake Storage, Synapse Analytics, and Databricks.
- Lead and provide technical oversight on complex ETL/ELT pipelines, supporting AI and Generative AI initiatives by preparing training datasets and managing inference pipelines.
- Manage end-to-end data project delivery including stakeholder interaction, team leadership, capacity planning, and adherence to agile practices.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field, or equivalent experience.
- Experience with Azure cloud services focused on data storage and processing; strong knowledge of data warehousing and ETL concepts.
- Hands-on skills in SQL, Python, and PySpark; understanding of GenAI and LLM data concepts including training data and inference pipelines.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in architecting and delivering enterprise-grade Azure data engineering solutions for AI workloads.
- Proven leadership and mentorship experience managing Azure Data Engineering teams with capacity and delivery planning.
- Strong operational focus on optimizing data pipelines for performance, cost efficiency, and sustainable design, collaborating closely with data scientists and AI engineers.