Azure Data engineer
Persistent Systems Limited (company site, opens in a new tab)6–8 yrsPuneHybridDirect career pageEst. 16–28 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable Azure data pipelines using Databricks, PySpark, and SQL for healthcare data.
- Provide L2/L3 production support, incident management, root cause analysis, and troubleshooting of data platform issues.
- Optimize performance and reliability of Spark workloads and large-scale ETL/ELT frameworks; implement monitoring and operational support processes.
Minimum Requirements
- 6 to 8 years of experience in Data Engineering, Big Data, and cloud-based data platforms.
- Minimum 5+ years hands-on experience with Databricks and PySpark.
- Proficient in SQL query development and optimization; experience in production support and incident management.
- Bachelor's degree in Engineering, Computer Science, Information Technology or equivalent.
Ideal Candidate Profile
- Experienced in developing distributed data processing solutions at enterprise scale with Azure and AWS cloud platforms.
- Skilled in Spark workload tuning, cluster management, Delta Lake architecture, and modern Lakehouse implementations.
- Proficient in production support environments with strong analytical skills, stakeholder management, and familiarity with CI/CD and DevOps practices.