Data Engineer

Role Title : Data Engineer Objective : Build scalable data pipelines and ensure data quality and accessibility Start : Immediate preferred (1 week ideal, up to 30 days acceptable) Engagement & Environment Cloud: Microsoft Azure Tools: Databricks, Azure Data Factory Agile + SDLC ways of working Jira, Confluence, Bitbucket Nice: Power BI, Alteryx Responsibilities Build and maintain data pipelines Integrate multiple data sources Develop data models Optimize databases Ensure data quality Automate ETL processes Document processes Collaborate with stakeholders Follow Agile/SDLC standards Must-Have Skills 5+ years data engineering experience Ability to work independently Degree in CS or equivalent Python, SQL, Spark/PySpark Databricks + ADF Strong database management Data modeling and ETL expertise Agile/SDLC experience Strong communication ++ Experience in supply chain and/or medical device industry, regulated industry, previous J&J experience Nice-to-Haves Power BI Alteryx DevOps (Jenkins, Azure DevOps) GxP experience Cloud certifications Data governance knowledge