Sr. Associate Data Engineer

Amgen Inc. (IR); Hyderabad; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Amgen Inc. in Hyderabad, India, is seeking an experienced Information Systems professional to advance data-driven solutions within the Global Supply Chain Analytics team.

The role focuses on designing, building, and managing data pipelines, models, and dashboards to enable actionable insights and regulatory-ready data documentation. The ideal candidate has 5–8 years of IT/IS experience, strong knowledge of ETL, cloud data platforms (AWS preferred), and expertise in Python/R for analytics, with a

Qualifications

• Bachelor’s or Master’s in CS, Engineering or equivalent.
• 5–8 years in IT/Info Systems, pharma experience preferred.
• Experience with big data platforms (Databricks) and ETL processes.
• Proficiency in SQL and Python/R for data analysis.

Responsibilities

• Design, build, and maintain data solutions for data generation and processing.
• Develop data pipelines and ETL to migrate data across systems.
• Create dashboards and insights using Tableau or Power BI.
• Collaborate with data engineers on data quality and governance.
• Support regulatory documents and inspections with data analytics.

Skills

Databricks (PySpark)

Python/R for ML

SQL

Tableau/Power BI

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Databricks

Spark

Job description

Career Category Information Systems Job Description

ABOUT AMGEN

At Amgen, our mission to serve patients drives everything we do. We discover, develop, manufacture, and deliver innovative medicines, and we use technology, data, and collaboration to help teams across the enterprise operate with greater speed, quality, and impact.

Role Description

This role is a key part of Amgen’s Global Supply Chain Analytics team, developing data and AI-driven solutions for Supply Chain Business. Responsibilities include designing, building, and managing data, analyzing it for actionable insights, creating reports, supporting data governance, and visualizing information to ensure reliable and efficient data management. The ideal candidate has strong technical skills, experience with big data, and a solid 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 creation of metric dashboards, self-serve analytics, and business insights using Tableau or Power BI.
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency.
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.
• Adhere to best practices for coding, testing, and designing reusable code/component.
• Exploratory data analysis, understand business knowledge, do feature engineering.
• Support generation of annual product review documents, regulatory inspections, and process documentation.
• Work with data engineers on data quality assessment, data cleansing and data analytics.

Basic Qualifications and Experience

• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Engineering or equivalent).
• 5–8 years of work experience in Information Technology, Information Systems, or a related field.
• Experience in the global pharmaceutical industry preferred.

Functional Skills

Must-Have Skills

• Hands on experience with big data technologies and platforms, such as Databricks (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing.
• Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training.
• Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools.
• Proficiency with data visualization platforms like Tableau, Power BI, or matplotlib/seaborn for Python.
• Excellent problem-solving skills and the ability to work with large, complex datasets.

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.
• Interest in GenAI/LLM technology and building data products that support natural language interfaces.

Professional Certifications

• Certified Data & Analytics professional

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.

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.

For more information, visit www.amgen.com and follow us on www.twitter.com/amgen