Sr Mgr Data Engineer

Data Engineer

What you will do

Amgen India will be an integral part in driving growth innovation, improving efficiency and creating enterprise value supporting our mission To Serve Patients.

The Amgen India Digital Technology Innovation Data Engineer for Clinical Data Hub will be responsible for end-to-end design, development and DevOps of data pipelines for clinical data domain across technology platform and stacks.

This role will leverage the latest technology to develop advanced data engineering pipeline and system solution to enable advanced data analytics for Amgen Clinical trial design and development. across various global clinical development business functions.

As the results, comprehensive clinical domain datasets and systems are up-to-date and ready for advanced clinical trial design and development insight generation analytics

• Design, develop, and deploy data pipeline for clinical domain dataset
• As an infrastructure programmer, continuously develop and support Data Scientist R-Platform and integration with various technology (Kubernetes Container, HashiCorp Vault, SAS Storage, and Data Science Work Bench)
• Design and build various reusable program components using innovative technology (NLP, AI, Python, R, etc) to transform and harmonize clinical dataset for insight generation
• Collaborate with Data Architects, Business SMEs, and Data Scientists to capture the business requirement and translate into Agile product backlog
• Serve as primary data engineer to manage and support AWS, Databricks, RStudio platform, and cloud AI based system production DevOps
• Align to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help streamline data pipeline and add new durable capability for clinical development
• Participate in sprint planning meetings and provide estimations on technical implementation
• Collaborate and communicate effectively with the product teams

What we expect of you

• Proactively identify data issues and risks across pipelines and datasets, perform root-cause analysis, and propose and implement effective, scalable solutions to ensure data quality and reliability.
• Own and lead projects from the data engineering perspective, driving end-to-end delivery including data design, development, optimization, stakeholder coordination, and operational support.

Basic Qualifications:

• Masters / Bachelor''s degree and years of relevant experience

Must Have Skills:

• Advanced skills in SQL, Python, and R languages programing; AWS cloud technology and databricks data lake technology stacks
• Data modeling skills, and software development lifecycle knowledge and best practices
• Learning ability of new technology in the information field
• Skill of using DevOps CI/CD tools, such Git, Jenkins and front UI Visualization technology

Good to Have Skills:

• Work experience in the biotechnology or pharmaceutical industry.
• Proficient skills and knowledge on common AI/Machine Learning technologies.
• Experience using and adopting Scaled Agile Framework (SAFe)
• Ability to work effectively in a fast-paced, dynamic environment.
• Experience with data modeling for both relationship databases, hands-on experience with SQL (PostgreSQL and Hive SQL is preferred)
• Experience with UI Visualization technology (Dash, RSConnect, Tableau preferred)
• Knowledge and experience in clinical trial design and development process and technology landscape, familiar with clinical trial data standards and structures

Certification:

• SAFe for Teams certification (preferred)

Soft Skills:

• Strong communications skills in writing, speaking, presenting and time management skills
• Strong transformation and change management experience.
• Exceptional collaboration and communication skills.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented with a focus on achieving team goals.
• Strong presentation and public speaking skills.