About Agilisium
Agilisium is the Life Sciences industry's premier Autonomous Agentic AI and Applied AI Services Company. We reimagine, develop, and co-develop AI-engineered business processes that are autonomous, scalable, and purpose-built for Life Sciences.
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: https://www.agilisium.com/
Job Description:
- 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
