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Tier-2 brand, metro Pune, mid-level generalist Data Engineer role with broad Databricks/PySpark skillset.
Core data engineering skills are transferable, but Databricks/Azure specialization raises domain specificity moderately.
Explicit 6–8 years plus 5+ years Databricks/PySpark experience and production-support mandates.
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.
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.
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.