Requirements

Expected technologies

AWS

Python

Snowflake Data Cloud

airflow

spark

Tableau

Terraform

Our requirements

• Strong expertise in digital device data, big data ingestion, processing, and storage.
• Ability to analyze complex data and interpret technical information effectively.
• Proficiency in: AWS Python Snowflake Airflow Amazon EMR Spark (e.g., PySpark)
• Familiarity with: Tableau Terraform CI/CD principles and tools
• Experience with validated projects and clinical trial data (preferably DHT data).
• Strong communication, leadership, and mentoring skills.
• Ability to work with distributed, cross-functional teams and navigate complex organizational environments.

Your responsibilities

• Development Oversight: Lead, coach, and mentor the development/technical team (primarily external resources), ensuring best practices and coding standards are consistently applied. Coordinate technical resources and communicate relevant changes in infrastructure, systems, or processes.
• Technical Solution Design & Review: Design solutions or review designs proposed by the external team, ensuring scalability and maintainability.
• Technical Support: Provide guidance and support for technical issues, particularly during study setup, troubleshooting data issues, and working with distributed teams across multiple time zones.
• Code Review & Quality Assurance: Conduct regular code reviews, enforce coding standards, and ensure compliance with GxP requirements. Maintain high-quality technical documentation and user stories in Jira.
• System & Domain Knowledge: Understand the current system landscape, contribute to the future technical roadmap, and collaborate with Product and Solution Architects to define platform evolution.
• Collaboration: Partner with Product, Project, and Validation teams to ensure fit-for-purpose testing, validation, and continuous improvement of technical processes. May also take on System Owner responsibilities if required.