Sr. Azure Data engineer
Persistent Systems Limited (company site, opens in a new tab)8–10 yrsPuneHybridDirect career pageEst. 20–30 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and enterprise-grade ETL/ELT frameworks using Databricks, PySpark, and SQL on Azure.
- Perform production support including incident management, root cause analysis, and troubleshooting of data pipelines and platforms, ensuring data quality, performance, and reliability.
- Collaborate with cross-functional teams to implement and optimize cloud-native (Azure/AWS) data solutions, including monitoring, alerting, and operational governance.
Minimum Requirements
- 8 to 10 years of experience in data engineering, big data, and cloud-based data platforms.
- Minimum 5+ years hands-on experience with Databricks and PySpark.
- Strong expertise in SQL development including query optimization and performance tuning.
- Bachelor's degree in Engineering, Computer Science, Information Technology, or equivalent experience.
Ideal Candidate Profile
- Experienced in building and supporting large-scale, distributed data processing solutions in production environments, with emphasis on troubleshooting and operational support.
- Proficient in cloud platforms especially Azure (also AWS), with skills in Spark optimization, Delta Lake, and modern Lakehouse architectures.
- Capable of owning end-to-end data platform lifecycle including design, development, support, and continuous improvement within Agile teams.