Sr. Data Engineer - Clinical Data Hub

Amgen Technology; Hyderabad; In loco; INR 3.500.000 - 6.500.000; Tempo pieno

Descrizione del lavoro

Amgen Technology's Clinical Data Hub seeks a senior data engineer to design, build, and optimize data pipelines that power end-to-end drug development insights. You will work with large datasets, developing reports, supporting governance initiatives, and visualizing data for accessible, reliable, and efficiently managed information.

The role emphasizes hands-on work with Databricks, Spark, and AWS-based cloud data platforms, collaborating with Data Architects and Data Scientists to deliver

Competenze

• Hands-on with big data technologies and platforms (Databricks, Spark) for large-scale data processing.
• Experience with Python/R for analytics, EDA, feature engineering and ML model training.
• Proficiency in SQL and data visualization tools.
• Strong data governance knowledge and regulatory compliance awareness (GDPR, CCPA).
• Develop, maintain, and optimize data pipelines (ETL/ELT) and data integration.
• Collaborate with Data Architects, Data Scientists, and Business SMEs on end-to-end pipelines.

Mansioni

• Design, build, 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.

Conoscenze

Databricks

Apache Spark

PySpark

SparkSQL

SQL

Data Visualization

Data Governance

GDPR/CCPA knowledge

Cloud platforms (AWS)

SageMaker basics

Formazione

Master's or Bachelor's in Computer Science/IT or related field

Strumenti

Databricks

SageMaker

Cloud platforms (AWS, GCP, Azure)

Descrizione del lavoro

ABOUT THE ROLE

Clinical Data Hub

Amgens Clinical Data Hub (CDH) isaInformation Technologyproduct team chartered toidentify,designand implement technology that powers Amgensendtoenddrug development lifecycle. We are at an inflection point, accelerating through rapid,AIdrivenmodernization to build clinical data products that enable both drug regulatory submissions and drug discovery and development.Ifyourepassionate about turning complex clinical data into resilient, scalable products that help speedlifechangingmedicines to patients worldwide, this is aonceinadecadeopportunity to do yourcareerbestwork on a global stage.

Role Description

heroleis responsible fordesigning, building, maintaining, analyzing, and interpreting data toprovideactionable 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.

Roles Responsibilities

• Design, develop, andmaintaindata solutions for data generation, collection, and processing
• Be a key team member thatassistsin 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 frominceptionto deployment, manage scope, timelines, and risks
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
• Develop andmaintaindata 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
• Identifyand 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

• Masters 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
• Proficiencyin 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 beassigneda second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, asrequiredbased on business requirements.