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Tier-1 brand, common Data Engineer role, metro location, and broad Azure/Spark skills increase competition.
Core data engineering skills are transferable, though supply-chain/device context favors candidates with relevant domain experience.
Explicit 6+ years requirement plus Azure, big-data, CI/CD, and on-call expectations create stringent filters.
Build, maintain, and optimize scalable data pipelines and models on Azure (using ADF, HDI, Databricks, Fabric/Synapse) focusing on data quality, security, and compliance.
Develop and integrate datasets to support AI/ML and Co-Pilot applications alongside data scientists and analysts.
Act as Designated Responsible Individual (DRI) to monitor systems, handle incidents, implement CI/CD pipelines using Azure DevOps, and govern data accessibility within pipelines.
6+ years of experience in data engineering or a similar role.
Bachelor’s degree in Computer Science, Engineering, or related field OR Master’s degree in related field OR equivalent experience.
Proficiency in Python or Scala programming and solid experience with SQL and database technologies.
Experience working with big data technologies such as Hadoop and Spark.
Experienced with building and scaling data platforms in a complex, data-driven supply chain/manufacturing context preferred (Microsoft Devices Operations).
Strong hands-on expertise with Azure data services and data governance/compliance.
Able to manage design, build, and operational ownership of data pipelines, including incident monitoring and resolution (DRI role).