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Well-known pharma brand, metro Hyderabad, mid-level generalist data role with common skills increases competition.
Core data engineering skills transferable across industries, though pharma-specific experience is only a desirable plus.
Explicit 3–5 years plus mandatory Databricks, AWS Glue, Spark, Python skills enforce strict filtering.
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Support and maintain PDS data platforms, ETL pipelines, and analytics/UI applications using DBT, AWS Glue, Databricks, React, and cloud-native technologies.
Troubleshoot and resolve production incidents to ensure high availability, reliability, and adherence to SLAs, while driving automation for operational efficiency.
Collaborate with cross-functional teams (Analytics Engineering, Cloud Engineering, Business) to support deployments, continuous improvements, monitoring, and maintain operational documentation.
3-5 years of experience in operations and production support with process optimization.
Proficient hands-on experience with AWS Glue, Databricks, SQL, SPARK, Python, and knowledge of data engineering tools like Airflow.
Degree preferred in Computer Science, Physics, Math, Pharmaceutical Science, or Engineering.
Experience with version control systems (Git, SVN) and Agile development methodologies required.
Experienced in cloud data platforms and automation in fast-paced operational environments supporting business-critical analytics.
Capability to troubleshoot complex production issues and improve platform stability leveraging modern data and AI technologies (Agentic AI, RAG, AI-assisted development).
Prior exposure to global life sciences domain, GPS functional area, or experience working with global/dispersed technical teams is a plus.