Senior Specialist, Engineering providing automation support for clinical manufacturing processes at FLEx Center in Rahway, NJ. Ensuring reliable operation of automation systems and leading capital projects.
About the role
- Senior Data Engineer designing and developing scalable analytics solutions in the healthcare sector. Involves expertise in Azure Databricks, ETL processes, and collaboration with BI teams.
Responsibilities
- The Senior / Principal Data Engineer will design, develop, and maintain scalable data platform and analytics solutions across data lakes and operational databases.
- This role requires hands-on expertise in Azure Databricks, Azure SQL, Python/PySpark, Notebooks, with a strong understanding of data modeling, ETL/ELT best practices, and CI/CD automation in Azure DevOps.
- The ideal candidate will have a proven record of building robust, efficient, and secure data pipelines that enable analytics, reporting, and AI/ML solutions, preferably in life sciences, clinical research, or healthcare domains.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred).
- Minimum 5–8 years of relevant experience building and maintaining data solutions (data lakes, data warehouses, operational databases).
- Expert-level proficiency in Azure Databricks, PySpark, SQL, and Azure DevOps.
- Proven experience with Azure Data Factory, ADLS Gen2, and Azure SQL Server.
- Working knowledge of CI/CD automation, version control (Git), and infrastructure as code (ARM or Terraform).
- Experience with Power BI or similar analytics platforms (Tableau, Looker) required; experience with Snowflake, Redshift, or Synapse Analytics is a plus.
- Strong analytical, debugging, and performance-tuning skills.
- Experience in life sciences or healthcare industries is a strong plus.
Job title
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