Sr Mgr Data Engineer

Amgen Technology; Hyderabad; Presencial; INR 2.800.000 - 5.600.000; Jornada completa

Descripción de la vacante

Amgen India is seeking a seasoned Data Engineer to drive end-to-end design, development, and DevOps of data pipelines for the clinical domain. You will enable advanced analytics for clinical trial design and development across global functions, ensuring datasets are up-to-date for insights.

You will collaborate with Data Architects, SMEs, and Data Scientists, integrating AWS, Databricks, and R-Platform workstreams while adopting best practices for reusable code and agile delivery.

Formación

• Masters or Bachelor's degree with 12-16 years of relevant experience.
• Proficient in SQL, Python and R; strong AWS and Databricks data lake experience.
• Experience with DevOps CI/CD (Git, Jenkins) and data visualization UI tools.

Responsabilidades

• Design, develop, and deploy data pipelines for the clinical data domain.
• Support Data Scientist use of R-Platform with cloud services like AWS and Databricks.
• Collaborate with data architects and SMEs to translate requirements into agile backlog.
• Ensure data quality, reliability, and scalable data infrastructure across pipelines.
• Participate in sprint planning and communicate progress to product teams.

Conocimientos

SQL

Python

R

AWS

Databricks

Educación

Masters / Bachelor's degree with 12-16 years of relevant experience

Herramientas

Git

Jenkins

UI Visualization

Descripción del empleo

Job Summary

At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. As a member of the Amgen team, youll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Data Engineer

Responsibilities

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 with 12 - 16 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.