Senior Azure Data Engineer

Introduction to the Role

We are looking for a Data Engineer (Life Sciences/Biomedical domain) with strong expertise in PySpark, Databricks, and SQL .

The role involves building scalable data pipelines, integrating complex biomedical datasets, and enabling advanced analytics for genomics, clinical trials, and research.

• Design and build ETL/ELT pipelines to ingest, transform, and load data from clinical, omics, research, and operational sources.
• Optimize performance and scalability of data flows using Apache Spark, Databricks, or AWS Glue.
• Collaborate with domain experts in genomics, clinical trials, and lab science to implement robust data solutions.
• Develop and maintain data models, schemas, and governance practices for structured and unstructured biomedical data.
• Implement data quality checks, lineage, logging, and alerts to ensure reliability and reproducibility.
• Work with cloud infrastructure teams to deploy pipelines on AWS, GCP, or Azure.
• Contribute to data lake/warehouse solutions (Snowflake, Redshift, Synapse).

• Strong experience with PySpark, Databricks, and SQL .
• Proven expertise in building ETL/ELT pipelines for large-scale datasets.
• Experience with cloud platforms (AWS, GCP, Azure).
• Solid knowledge of data modelling, schemas, and governance .
• Hands-on experience with data lake/warehouse technologies (Snowflake, Redshift, Synapse).
• Strong problem-solving and collaboration skills.

• Experience working with clinical, genomics, or biomedical data .
• Familiarity with data quality frameworks and reproducibility practices .
• Exposure to workflow orchestration tools (Airflow, Prefect, dbt).
• Understanding of research informatics and healthcare compliance standards .
• Everest Group – Recognized as a Leader in Life Sciences Digital Services for the Mid-Market
• Inc. 5000 – Featured among the fastest-growing companies in the U.S. for 9 consecutive years
• AWS Advanced Consulting Partner – one of the Top 13 companies globally to hold both GenAI and Life Sciences Competency Badges
• Recognized by AIM Research as one of the top companies for women in tech to work for .
• Trusted by Fortune 500 Pharma – Partnering with several Top 10 global Life Sciences companies

Agilisium continues to invest in top-tier talent to fuel innovation, scalability, and impact across the Life Sciences value chain