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Popular Data Engineer title, mid-level experience, metro location, and broad Azure/Databricks skill requirements increase competition.
Core data engineering skills are transferable but enterprise SAP and manufacturing context raise moderate domain specificity.
Explicit 5+ years and required Azure/Databricks/DevOps proficiencies create strict technical filters.
Design, code, and test scalable data acquisition, integration, and transformation pipelines using Microsoft Azure PaaS tools and DevOps methodologies.
Architect and manage data structures and pipelines to support 'Data as a Service' ensuring scalability, reliability, and performance.
Develop and deploy infrastructure components in cloud and edge environments; manage DevOps pipelines and containerization for scalable deployments.
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field.
Experience with Azure data management technologies (ADF, ADLS, Databricks, SAP Data Services) and server-side architectures.
Experience with full software development lifecycle and Agile methodologies including DevOps and containerization.
Work Experience Required: Not explicitly mentioned in the JD; hybrid work from Pune office with onsite expectation at least Mondays, Tuesdays, and Thursdays.
Experienced in collaborating with business stakeholders to convert data into actionable insights, ideally 5+ years.
Operating style includes making architectural tradeoffs to rapidly deliver software solutions and adapting quickly to evolving technologies.
Comfortable working in a global enterprise environment with exposure to enterprise architecture and cross-functional collaboration.