Principal Data Engineer

Amgen Inc. (IR); Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Amgen is seeking a seasoned Principal Data Engineer to lead the design, development, and implementation of our data strategy. You will architect robust data platforms and mentor a team of data engineers while collaborating with business stakeholders.

The role requires deep expertise in cloud-based data solutions, data governance, and best practices in data engineering, with a focus on scalable and secure architectures across AWS/Azure/GCP.

Qualifications

• Bachelor's degree in a relevant field with 12+ years of experience.
• Strong proficiency in Python, PySpark, and SQL for data engineering tasks.
• Experience leading data engineering teams and mentoring engineers.

Responsibilities

• Lead design and implementation of data architectures and platforms.
• Mentor and guide a high-performing data engineering team.
• Oversee data pipelines, ETL processes, and data integration solutions.

Skills

Python

PySpark

SQL

AWS

Azure

GCP

Spark

Airflow

CI/CD

DevOps

Data governance

Education

Bachelor's degree

12–17 years experience

AWS Data Engineer certification

Databricks Certification

Tools

Git

Subversion

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: We are seeking a seasoned Principal Data Engineer to lead the design, development, and implementation of our data strategy. The ideal candidate possesses a deep understanding of data engineering principles, coupled with strong leadership and problem‑solving skills. As a Principal Data Engineer, you will architect and oversee the development of robust data platforms, while mentoring and guiding a team of data engineers.

Roles & Responsibilities

• Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
• Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices.
• Design, develop, and implement robust data architectures and platforms to support business objectives.
• Oversee the development and optimization of data pipelines, and data integration solutions.
• Establish and maintain data governance policies and standards to ensure data quality, security, and compliance.
• Architect and manage cloud-based data solutions, leveraging AWS or other preferred platforms.
• Lead and motivate a high‑performing data engineering team to deliver exceptional results.
• Identify, analyze, and resolve complex data‑related challenges.
• Collaborate closely with business stakeholders to understand data requirements and translate them into technical solutions.
• Stay abreast of emerging data technologies and explore opportunities for innovation.

Functional Skills

• Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions.
• Strong understanding of cloud architecture principles and cost optimization strategies.
• Proficient on experience in Python, PySpark, SQL.
• Handon experience with bid data ETL performance tuning.
• Proven ability to lead and develop high‑performing data engineering teams.
• Strong problem‑solving, analytical, and critical thinking skills to address complex data challenges.

Good-to‑Have Skills

• Experienced with data modeling and performance tuning for both OLAP and OLTP databases
• Experienced with Apache Spark, Apache Airflow
• Experienced 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
• Experienced with AWS, GCP or Azure cloud services

Education and Professional Certifications

• Bachelor’s degree and 12 to 17 years' experience
• AWS Certified Data Engineer preferred
• Databricks Certificate 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.

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