Data Engineer

Amgen; India; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Amgen seeks a Data Engineer to design and optimize robust data pipelines, feeding an AWS-based data lake and data warehouse. You will partner with cross-functional teams to translate business needs into scalable technical solutions and deliver reliable analytics-ready data assets.

Key skills include SQL, Python, PySpark and Airflow, with experience in Databricks and cloud platforms. The role focuses on data quality, performance, and actionable insights across projects.

Qualifications

• Proficient in SQL and data querying across relational and columnar stores.
• Strong Python, PySpark and Airflow skills for scalable data pipelines.
• Experience with AWS, Databricks and data lake/warehouse architectures is essential.

Responsibilities

• Build and optimize data pipelines, data warehouses and data lakes on AWS and Databricks.
• Maintain and monitor AWS and Databricks environments to ensure uptime.
• Ensure data integrity with quality checks and monitoring across pipelines.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Explore new tools to improve ETL performance and reliability.

Skills

SQL

Python

PySpark

Airflow

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS

Databricks

Apache Spark

Job description

Career Category

Information Systems

Job Description

Data Engineer

Role Name: Data Engineer

Department Name: OUS Contracts & Pricing Hub

Role GCF: 4

Hiring Manager Name: Chunhai He

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:

We seek a skilled Data Engineer to build and optimize our data infrastructure. As a key contributor, you will collaborate closely with cross-functional teams to design and implement robust data pipelines that efficiently extract, transform, and load data into our AWS-based data lake and data warehouse. Your expertise will be instrumental in empowering data-driven decision making through advanced analytics and predictive modeling.

Roles & Responsibilities

• Building and optimizing data pipelines, data warehouses, and data lakes on the AWS and Databricks platforms.
• Managing and maintaining the AWS and Databricks environments.
• Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring.
• Maintain system uptime and optimal performance
• Working closely with cross-functional teams to understand business requirements and translate them into technical solutions.
• Exploring and implementing new tools and technologies to enhance ETL platform performance.

Functional Skills

Must-Have Skills

• Proficient in SQL for extracting, transforming, and analyzing complex datasets from both relational and columnar data stores. Proven ability to optimize query performance on big data platforms.
• P roficien t in leveraging Python, PySpark , and Airflow to build scalable and efficient data ingestion, transformation, and loading processes.
• Ability to learn new technologies quickly. Strong problem-solving and analytical skills. Excellent communication and teamwork skills.

Good-to-Have Skills

• Experience d with SQL/NOSQL database, vector database for large language models
• E xperience d with data modeling and performance tuning for both OLAP and OLTP databases
• Experienc ed with Apache Spark, Apache Airflow
• Experience d with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
• Experience d with AWS, GCP or Azure cloud services

Education and Professional Certifications

5 to 9 years of experience and Bachelor's degree in computer science and engineering preferred, other Engineering field is considered

AWS Certified Data Engineer preferred

Databricks Certifi cate preferred

Soft Skills

• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills .

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation .