Lead I - Azure Data Engineer
UST (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 12–20 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and integration solutions using Azure Data Factory, Databricks, Synapse, and Data Lake Storage.
- Implement data transformation workflows using PySpark and Delta Lake with performance optimization and error handling.
- Deploy and manage CI/CD pipelines for data solutions and ensure data security and governance using Azure RBAC and related tools.
Minimum Requirements
- 5+ years of experience in data engineering with Azure stack: ADF, Databricks, Synapse, ADLS Gen2.
- Proficiency in Python (PySpark), SQL, and Spark SQL for ETL/ELT workloads.
- Bachelor's degree in Computer Science, IT, or related field.
- Work Experience Required: 5+ years in Azure Data Engineering roles.
Ideal Candidate Profile
- Experienced in end-to-end Azure data platform implementations including ingestion, transformation, and modeling for analytics.
- Skilled in creating metadata-driven reusable data pipelines and optimizing Spark jobs for cost and performance.
- Comfortable collaborating with BI teams and deploying solutions with DevOps best practices in agile environments.