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Tier-1 brand, mid-level data role in Bangalore with broad cloud/Databricks skills increases applicant competition.
Core data engineering skills are transferable, but pharma supply-chain and compliance experience increases sector specificity.
Explicit 4+ years plus mandatory Databricks, Azure, SQL/Python and enterprise compliance makes shortlisting strict.
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Design, build, and maintain scalable data ingestion, transformation, and integration pipelines for complex supply chain systems using AWS, Azure, Databricks, and GitHub.
Optimize data flows for performance, reliability, cost efficiency, and implement CI/CD and automated testing for these pipelines.
Collaborate with stakeholders across business, data science, and analytics to ensure data quality, security, and deliver actionable insights to support supply chain operations.
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
Minimum 4 years of experience in data engineering or similar roles with large-scale data systems expertise.
Proficiency in SQL, Python, Spark development, and hands-on experience with Databricks (notebooks, workflows, Delta Lake, Unity Catalog).
Experience with Azure data stack (Azure Data Factory, Azure Databricks) and GitHub; Location: Bangalore, Hybrid work setup.
Experienced in operating within a complex, fast-moving supply chain or enterprise IT environment focused on healthcare or related domains.
Capable of working across multiple technical platforms (cloud and big data ecosystems) with strong problem-solving and communication skills to translate technical needs to non-technical stakeholders.
Comfortable owning end-to-end delivery of scalable, compliant data engineering solutions aligned to business impact and regulatory standards.