Azure Data Engineer - AM- MFT KGS CH
KPMG (company site, opens in a new tab)Bengaluru, GurugramOn-siteDirect career pageEst. 18–30 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 on Azure using Data Factory, Data Lake Storage, Synapse Analytics, and Databricks.
- Lead end-to-end data project delivery including architecture, standards enforcement, technical leadership for complex ETL/ELT pipelines, and stakeholder collaboration.
- Support AI and Generative AI workloads by managing training datasets, embeddings, inference pipelines, and optimizing pipelines for performance and cost efficiency.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems or related technical field, or equivalent practical experience.
- Hands-on experience with Azure cloud services focusing on data storage and processing solutions.
- Strong knowledge and experience with data warehousing, ETL concepts, SQL, Python, and PySpark.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Demonstrated experience in leading and mentoring Azure Data Engineering teams with technical oversight of complex ETL/ELT pipelines.
- Experienced in integrating and optimizing data solutions to support AI and Generative AI workloads, collaborating effectively with data scientists and AI engineers.
- Capability to manage end-to-end data project delivery in an Agile environment with a focus on scalable, secure, and cost-efficient data architectures.