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High — strong employer brand, Bangalore metro, mid-level data engineer with widely sought skills.
Medium — core data engineering skills transfer, but supply chain and pharma compliance needs reduce portability.
High due to explicit 4+ years requirement and mandatory Databricks/Azure/Spark skillset.
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Design, build, and maintain scalable data pipelines and architectures that improve supply chain performance across complex systems.
Develop and optimize ingestion, transformation, and integration flows using AWS, Azure, Databricks, and GitHub, ensuring performance, reliability, and cost efficiency.
Implement CI/CD, automated testing, and ensure data quality, security, and compliance; troubleshoot pipeline issues proactively.
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
Minimum 4 years experience in data engineering or similar roles involving large-scale data systems.
Proficiency in SQL, Python, Spark, with hands-on experience in Databricks (notebooks, workflows, Delta Lake, Unity Catalog).
Experience with Azure data stack including ADF, Azure Databricks, and GitHub.
Location requirement: Bangalore, Hybrid.
Work Experience Required: Minimum 4 years in relevant roles.
Experienced in architecting and optimizing data pipelines within complex, enterprise supply chain environments.
Strong technical expertise with cloud-native data platforms, especially Azure and Databricks ecosystems.
Able to collaborate effectively with cross-functional teams including business stakeholders, data scientists, and analysts to translate requirements into data solutions.