Lead II - Data Engineering
UST (company site, opens in a new tab)TrivandrumOn-siteDirect career pageEst. 18–28 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable ETL/ELT data pipelines using Azure Data Factory and Azure Databricks.
- Develop and optimize data transformation logic with PySpark and SQL for performance and reliability.
- Ensure data quality, governance, and collaborate with stakeholders to translate business requirements into technical solutions.
Minimum Requirements
- Proven experience in Azure data services, specifically Azure Databricks, Azure Data Factory, PySpark, and SQL.
- Strong skills in developing scalable data pipelines and optimizing Spark-based data transformations.
- Work Experience Required: Not explicitly mentioned in the JD.
- Mandatory technical skills: Expertise in Azure Data Factory, Azure Databricks, PySpark, and SQL.
Ideal Candidate Profile
- Experienced in designing large-scale data engineering solutions on Azure cloud platform with focus on scalability and performance.
- Able to manage end-to-end data pipeline lifecycle including development, monitoring, and production support.
- Has exposure to CI/CD for data pipelines and can interface effectively with business stakeholders and technical teams.