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Multiple amplifiers: popular Data Engineer title, mid (4yrs) experience band, metro Bangalore, broad cloud/Databricks skill demand, strong brand.
Core data engineering skills are transferable, but supply-chain, ERP/LIMS and pharma compliance increase domain specificity.
Mandatory 4+ years and explicit Databricks/Azure/SQL/Python requirements make shortlisting highly strict.
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Design, build, and maintain scalable data pipelines and architectures driving supply chain performance at Novo Nordisk.
Develop ingestion, transformation, and integration flows across systems (ERP, MES, LIMS, logistics, planning) using AWS, Azure, Databricks, and GitHub.
Ensure data quality, security, and optimize pipelines for performance, reliability, and cost efficiency while collaborating with diverse stakeholders.
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 focused on large-scale data systems.
Strong proficiency in SQL, Python, and Spark-based development; hands-on experience with Databricks and Azure data stack (ADF, Azure Databricks, GitHub).
Work Location: Bangalore (Hybrid).
Experienced with cloud-native data platforms and modern data engineering practices in complex supply chain environments.
Technically skilled in end-to-end data engineering including CI/CD, version control, automated testing, and troubleshooting pipeline issues.
Able to communicate technical concepts effectively to business stakeholders, data scientists, and analysts for actionable insights.