Amgen

Biotechnology

AssociateDataEngineer

India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Associate Data Engineer at Amgen. Skills: Data Infrastructure, Data Architecture, ETL Processes, Cloud Platforms. Design data solutions. Develop data solutions”

Industry & Context.

Biotechnology
Problems you'll solve

problem-solving skills; analytical and troubleshooting skills; breaking down problems

What They're Looking For.

Must Have

Bachelor's degree, Computer Science, IT, SQL

Nice to Have

Databricks, Python, Gitlab, LucidChart, data analysis tools, data sourcing tools, data governance frameworks, data standards (FAIR), GDPR, CCPA, ETL tools, Python packages, data modeling, data warehousing, data integration concepts, Python/R, Databricks, cloud data platforms, Product team's environment, Agile environment

What You'll Do.

Design data solutions

Develop data solutions

Maintain data solutions

Develop data pipeline

Create data pipelines

Implement ETL processes

Understand data requirements

Develop data dictionaries

Maintain data dictionaries

Implement data security

Implement data privacy

Leverage cloud platforms

Build scalable solutions

Build efficient solutions

How You'll Work.

Team & Collaboration

Collaborate with cross-functional teams; Collaborate with product teams; Collaborate with data scientists; Work effectively with global, virtual teams; Focus on achieving team goals

Communication Scope

verbal and written communication skills

Process & Methodology

SAFe Agile delivery model

Full Job Description

## **Career Category** Information Systems ## ## **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:_ As part of the cybersecurity organization, the Data Engineer is responsible for designing, building, and maintaining data infrastructure to support data-driven decision-making. This role involves working with large datasets, developing reports, executing data governance initiatives, and ensuring 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, ETL processes, and cybersecurity data frameworks. _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. * Schedule and manage workflows the ensure pipelines run on schedule and are monitored for failures. * 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 and communicate effectively with product teams. * Collabora

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