Job Description

About Position:

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As a Senior Azure Data Engineer, you will have the chance to be part of a high-performing data engineering team focused on transforming healthcare data into actionable insights that improve outcomes and business decisions. We are looking for a highly skilled professional with expertise in Databricks, PySpark, SQL, and Production Support to design, develop, and maintain enterprise-scale data platforms and pipelines.

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- Role: Sr. Azure Data engineer
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- Location: Pune
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- Experience: Between 8 to 10 Years
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- Job Type: Full Time Employment
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What You‘ll Do:

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- Design, develop, and maintain scalable data pipelines using Databricks and PySpark.
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- Build and optimize enterprise-grade ETL and ELT frameworks for large-scale data processing.
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- Investigate and resolve data quality issues, pipeline failures, and production incidents.
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- Perform root cause analysis for framework failures, processing issues, and application defects.
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- Monitor, tune,



and optimize Spark workloads for performance, scalability, and reliability.
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- Develop and optimize SQL queries for data extraction, transformation, validation, and reporting.
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- Collaborate with business users, architects, and engineering teams to implement robust data solutions.
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- Support production deployments and provide L2/L3 support for critical data platforms and applications.
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- Troubleshoot complex data processing, workflow, and platform-related issues.
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- Implement monitoring, alerting, and operational support processes to improve platform stability.
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- Ensure data quality, accuracy, consistency, and availability across systems.
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- Drive adoption of engineering best practices, coding standards, and operational governance.
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- Participate in code reviews and contribute to continuous improvement initiatives.
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- Support cloud-native data solutions using Azure and AWS platforms.
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- Create and maintain technical docum

📌 Senior Azure Data Engineer (Pune)
🏢 Persistent Systems
📍 Pune