Lead I - Data Engineering- Azure
UST (company site, opens in a new tab)5+ yrsTrivandrumOn-siteDirect career pageEst. 14–24 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead data engineering efforts on Azure platform focusing on Azure Databricks, Data Factory, and DevOps including CI/CD pipeline management and release activities.
- Own design, development, and maintenance of ETL pipelines, data models, data governance, metadata, lineage, and quality frameworks.
- Provide production support, collaborate with stakeholders for data solutions, and participate in architecture and design reviews.
Minimum Requirements
- 5+ years hands-on experience with Azure Databricks, Azure Data Factory, and Azure DevOps.
- Strong experience in Python and PySpark programming for data engineering tasks.
- Experience with data modeling, data governance, metadata management, data profiling, and ETL development.
- Work Experience Required: Not explicitly mentioned in the JD; Banking domain experience strongly desired but not mandatory.
Ideal Candidate Profile
- Experienced in managing data engineering in enterprise-scale Azure environments with emphasis on DevOps and release engineering.
- Capable of communicating technical details clearly to non-technical business partners and supporting testing & production support.
- Familiar with large-scale banking or financial data environments and enterprise data governance practices.