Data Engineer

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]

What You Will Do

Let's do this. Let's change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure 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 and ETL processes

Roles & Responsibilities :

Ø Design, develop, and maintain data solutions for data generation, collection, and processing

Ø Be a key team member that assists in design and development of the data pipeline

Ø Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems

Ø Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions

Ø Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks

Ø Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs

Ø Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency

Ø Implement data security and privacy measures to protect sensitive data

Ø Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

Ø Collaborate and communicate effectively with product teams

Ø 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

Ø Identify and resolve complex data-related challenges

Ø Adhere to best practices for coding, testing, and designing reusable code/component

Ø Explore new tools and technologies that will help to improve ETL platform performance

Ø Participate in sprint planning meetings and provide estimations on technical implementation

What We Expect Of You

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

Basic Qualifications and

Experience:

Master's degree / Bachelor's degree and 5 to 9 years Computer Science, IT or related field experience

Functional

Skills:

Must-Have Skills

Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, Spark

SQL), workflow orchestration, performance tuning on big data processing
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
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, Sage Maker, cloud data platforms

Soft Skills:

Excellent critical-thinking and problem-solving skills
Strong…