Data Specialist

About Agilisium

Life Sciences industry's premier Autonomous Agentic AI and Applied AI Services Company

Over the past decade, we've established deep credibility across global pharma and biotech organizations through our specialized expertise and consistent growth:

• 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

• 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.

Learn more:

• Proven experience as a Data Engineer (typically 6-10 years, depending on level).
• Strong hands-on experience with Python for data engineering tasks.
• Proficiency in SQL (writing complex queries, performance tuning).
• Strong expertise in PySpark and Databricks.
• Hands-on experience working in AWS/Azure cloud environment.
• Experience with data pipeline orchestration tools (e.g., Airflow, AWS Step Functions).
• Solid understanding of data modeling, warehousing, and ETL/ELT concepts.
• Knowledge of version control systems (Git) and CI/CD practices.
• Excellent problem-solving and communication skills.

Must have skills:

• Python
• SQL
• Pyspark
• AWS cloud
• Databricks
• Data modeling