Data Engineer - R&D Data Catalyst Team

Location: Prakāshamnagar

Join Amgen's Mission of Serving Patients

At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Data Engineer - R&D Data Catalyst Team

What You Will Do

Let's do this. Let's change the world. In this vital role, you will be responsible for the end-to-end development of an enterprise analytics and data mastering solution using Databricks and Power BI. This role requires expertise in both data architecture and analytics, with the ability to create scalable, reliable, and impactful enterprise solutions that research cohort-building and advanced research pipeline. The ideal candidate will have experience creating and surfacing large unified repositories of human data, based on integrations from multiple repositories and solutions, and be extraordinarily skilled with data analysis and profiling.

You will collaborate closely with key customers, product team members, and related IT teams, to design and implement data models, integrate data from various sources, and ensure best practices for data governance and security. The ideal candidate will have a good background in data warehousing, ETL, Databricks, Power BI, and enterprise data mastering.

Design and build scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools.
Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation
Break down features into work that aligns with the architectural direction runway
Participate hands-on in pilots and proofs-of-concept for new patterns
Create robust documentation from data analysis and profiling, and proposed designs and data logic
Develop advanced sql queries to profile, and unify data
Develop data processing code in sql, along with semantic views to prepare data for reporting
Develop Power

BI Models and reporting packages
Design robust data models, and processing layers, that support both analytical processing and operational reporting needs.
Design and develop solutions based on best practices for data governance, security, and compliance within Databricks and Power BI environments.
Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms.
Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability.
Collaborate with key customers to define data requirements, functional specifications, and project goals.
Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions.

What We Expect Of You

We are all different, yet we all use our unique contributions to serve patients. The R&D Data Catalyst Team is responsible for building Data Searching, Cohort Building, and Knowledge Management tools that provide the Amgen scientific community with visibility to Amgen's wealth of human datasets, projects and study histories, and knowledge over various scientific findings. These solutions are pivotal tools in Amgen's goal to accelerate the speed of discovery, and speed to market of advanced precision medications.

Basic Qualifications:

Master's degree and 1 to 3 years of Data Engineering experience OR
Bachelor's degree and 3 to 5 years of Data Engineering experience OR
Diploma and 7 to 9 years of…