5+ yrsKolkataOn-siteDirect career pageEst. 12–20 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Build, orchestrate, and maintain scalable data pipelines using Azure Databricks, Azure Data Factory, Python, and PySpark.
- Ingest, transform, and govern large datasets from SQL Server, Oracle, and other sources with cloud-native solutions primarily on Azure.
- Monitor, troubleshoot, tune performance of data pipelines and participate in on-call rotation to ensure production reliability.
Minimum Requirements
- Minimum 5 years of experience in Data Engineering, Data Warehousing, or related areas.
- Bachelor’s degree in Computer Science, Information Technology, or related discipline (or equivalent practical experience).
- Strong hands-on experience with Azure Databricks (jobs/workflows, Delta Lake, Unity Catalog) and Azure Data Factory pipelines.
- Advanced Python and PySpark skills plus solid understanding of Azure cloud services, SQL (T-SQL preferred), and CI/CD/DevOps practices (GitHub Actions preferred).
Ideal Candidate Profile
- Experienced operating in enterprise-scale environments with cloud-native data platforms primarily on Azure.
- Demonstrated ability to translate business requirements into robust, maintainable data solutions with strong troubleshooting skills for complex production issues.
- Familiar with both Windows and Linux environments and well-versed in implementing automated deployment and monitoring processes.