Sr. Data Engineer – Clinical Data Hub

Amgen; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Amgen in Hyderabad seeks a Senior Data Engineer to design, build, and maintain data solutions for the clinical data lifecycle. You will work with large datasets, develop ETL pipelines, and ensure data quality and governance to enable regulatory submissions and data-driven decisions.

You will collaborate with Data Architects, data scientists, and SMEs to deliver scalable data products across geographic regions, leveraging AWS and Databricks in a fast-paced environment.

Qualifications

• 8-12 years of experience in Computer Science/IT or related field
• Hands-on with big data technologies and platforms such as Databricks and Apache Spark
• Proficiency in Python/R for EDA and ML model training
• SQL and data visualization proficiency
• Understanding of data governance frameworks and data privacy regulations (GDPR/CCPA)

Responsibilities

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Be a key team member in design and development of the data pipeline
• Create data pipelines and ensure data quality via ETL/ELT processes
• Collaborate with Data Architects, SMEs, and Data Scientists across regions
• Develop and maintain data models and dictionaries to ensure accuracy
• Leverage cloud platforms (AWS preferred) to build scalable data solutions
• Adhere to coding, testing, and reusable code practices
• Explore new tools to improve ETL performance

Skills

Databricks

Apache Spark (PySpark, SparkSQL)

Python

R

SQL

Data visualization

Data governance

GDPR/CCPA knowledge

Education

Master’s or Bachelor’s degree in Computer Science/IT

Tools

Databricks

Job description

Career Category

Information Systems

Job Description

ABOUT THE ROLE

Clinical Data Hub
Amgen’s Clinical Data Hub (CDH) isaInformation Technologyproduct team chartered toidentify,designand implement technology that powers Amgen’send‑to‑enddrug development lifecycle. We are at an inflection point, accelerating through rapid,AI‑drivenmodernization to build clinical data products that enable both drug regulatory submissions and drug discovery and development.Ifyou’repassionate about turning complex clinical data into resilient, scalable products that help speedlife‑changingmedicines to patients worldwide, this is aonce‑in‑a‑decadeopportunity to do yourcareer‑bestwork on a global stage.

Role Description:
heroleis responsible fordesigning, building, maintaining, analyzing, and interpreting data toprovide actionale insights that drive business decisions. This role involves working with large datasets, developing reports,supportingand executing data governanceinitiativesand,visualizing data to ensure data is accessible, reliable, andefficiently 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, andmaintain 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 or Bachelor’s degree with 8 - 12 years of experience in Computer Science,ITor relatedfield

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 EDA, featureengineeringand 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)

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

• Clinical development domain knowledge is a plus

Professional Certifications:

• Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)

• Certified Data Scientist (preferred on Databricks or Cloud environments)

• Machine Learning Certification (preferred on Databricks or Cloud environments)

• SAFefor Teams certification (preferred)

Soft Skills:

• Excellent critical-thinking and problem-solving skills

• Strong communicationand 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.

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