Hybrid Data Developer

Posted 6 days ago

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About the role

  • 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

Data Developer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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