Sr. Data Engineer – Clinical Data Foundation

Biopharma Careers; Hyderabad; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Amgen is seeking a Sr. Data Engineer in Hyderabad to design, build, and maintain robust data pipelines for large datasets. You will work with Databricks, Apache Spark, Python, and SQL to deliver scalable data solutions across regions.

The role requires 9–12 years of experience, strong governance, and collaboration with data scientists and engineers. The position involves evening or night shifts as dictated by business needs, and work will be conducted on-site in Hyderabad.

Qualifications

• 9-12 years of experience in data engineering or related field.
• Strong knowledge of big data technologies and data governance.
• Experience with cloud platforms and data modeling.
• Familiarity with GDPR/CCPA data protection concepts.

Responsibilities

• Design, develop, and maintain data solutions for data generation, collection, and processing.
• Build and manage data pipelines with ETL/ELT processes across systems.
• Collaborate with data architects, SMEs, and scientists to deliver end-to-end pipelines.
• Ensure data quality, security, and governance across regions.
• Lead data pipeline projects from inception to deployment with timelines.

Skills

Critical thinking

Problem solving

Team collaboration

Education

Master's or Bachelor's degree in Computer Science

Tools

Databricks

Apache Spark

PySpark

SparkSQL

ETL/ELT pipelines

Python

R

SQL

Data visualization tools

Delta Lake

DataFrames

AWS / cloud data platforms

SageMaker

Job description

Career Category

Clinical

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

Role Description:

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.