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.
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