Senior AWS Data Engineer

• 4 to 6 years of professional experience in Data Engineering or a related field.
• Strong programming experience with Python and experience using Python for data wrangling, pipeline automation, and scripting.
• Deep expertise in writing complex and optimized SQL queries on large-scale datasets.
• Solid hands-on experience with PySpark and distributed data processing frameworks.
• Expertise working with Databricks for developing and orchestrating data pipelines.
• Experience with AWS cloud services such as S3, Glue, EMR, Athena, Redshift, and Lambda.
• Practical understanding of ETL/ELT development patterns and data modeling principles (Star/Snowflake schemas).
• Experience with job orchestration tools like Airflow, Databricks Jobs, or AWS Step Functions.
• Understanding of data lake, lakehouse, and data warehouse architectures.
• Familiarity with DevOps and CI/CD tools for code deployment (e.g., Git, Jenkins, GitHub Actions).
• Strong troubleshooting and performance optimization skills in large-scale data processing environments.
• Excellent communication and collaboration skills, with the ability to work in cross-functional agile teams.

• AWS or Databricks certifications (e.g., AWS Certified Data Analytics, Databricks Data Engineer Associate/Professional).
• Exposure to data observability, monitoring, and alerting frameworks (e.g., Monte Carlo, Datadog, CloudWatch).
• Experience working in healthcare, life sciences, finance, or another regulated industry.
• Familiarity with data governance and compliance standards (GDPR, HIPAA, etc.).
• Knowledge of modern data architectures (Data Mesh, Data Fabric).
• Exposure to streaming data tools like Kafka, Kinesis, or Spark Structured Streaming.
• Experience with data visualization tools such as Power BI, Tableau, or QuickSight.

We value a hybrid, collaborative environment that encourages shared learning and innovation.

You will work closely with product owners, architects, analysts, and data scientists across geographies to solve real-world business problems using cutting-edge technologies and methodologies.

We encourage flexibility while maintaining a strong in-office presence for better team synergy and innovation.

• 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.