Sr. Data Engineer - Clinical Data Foundation

Amgen; India; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Amgen is seeking a Sr. Data Engineer to design, build, and optimize data pipelines across global regions using Databricks, Spark, and AWS. You will partner with data scientists and data architects to deliver scalable ETL solutions and ensure data quality and governance.

The role requires 9–12 years of experience, strong Python/SQL skills, and deep knowledge of data warehousing, Delta Lake, and cloud platforms. Evening/night shifts may be required to support global operations.

Qualifications

• 9–12 years of overall experience in Computer Science, IT or related field.
• Hands-on experience with big data technologies and modern data platforms.
• Strong knowledge of data governance frameworks, security, and compliance.

Responsibilities

• Design, build, and maintain data solutions for data generation, collection, and processing.
• Lead the data pipeline design and development across systems and teams.
• Ensure data quality and governance; implement ETL/ELT processes and data integration.

Skills

Databricks

Apache Spark

PySpark

Python

SQL

Data governance

Cloud AWS

ETL/ELT

Data modeling

Data warehousing

Delta Lake

Education

Master's/Bachelor's in CS/IT

Tools

Databricks

SageMaker

AWS

Apache Airflow

Spark SQL

Job description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.

ABOUT THE ROLE

The Sr. Data Engineer is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes

ROLES & RESPONSIBILITIES

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Be a key team member that assists in design and development of the data pipeline
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
• Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
• Identify and resolve complex data-related challenges
• Adhere to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementation
• Collaborate and communicate effectively with product teams

BASIC QUALIFICATIONS AND EXPERIENCE

Master's /Bachelor's degree with 9-12 years of experience in Computer Science, IT or related field

FUNCTIONAL SKILLS

MUST-HAVE SKILLS

• Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
• Hands on experience with various Python/R packages for data analysis, feature engineering and machine learning model training
• Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
• Excellent problem-solving skills and the ability to work with large, complex datasets
• Strong understanding of data governance frameworks, tools, and best practices.
• Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
• Delta Lake, DataFrames, broadcast join

GOOD-TO-HAVE SKILLS

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
• Strong understanding of data modeling, data warehousing, and data integration concepts
• Knowledge of Python/R, Databricks, SageMaker, cloud data platforms
• Experience with Clinical Development domain.

PROFESSIONAL CERTIFICATIONS

• Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)
• Machine Learning Certification (preferred on Databricks or Cloud environments)
• SAFe for Teams certification (preferred)

SOFT SKILLS

• Excellent critical-thinking and problem-solving skills
• Strong communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Demonstrated presentation skills

SHIFT INFORMATION

This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.