Principal Data Engineer

Principal Data Engineer

Career Category

Information Systems

Job Description

ABOUT THE ROLE

Role Description:

Let’s do this. Let’s change the world. We are looking for highly motivated expert Principal Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks for R&D domain. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.

Roles & Responsibilities:

Must-Have Skills:

• Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies.

• Proficiency in workflow orchestration, performance tuning on big data processing.

• Strong understanding of AWS services

• Experience with Data Fabric, Data Mesh, or similar enterprise-wide data architectures.

• Ability to quickly learn, adapt and apply new technologies

• Strong problem-solving and analytical skills

• Excellent communication and teamwork skills

• Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.
  

Good-to-Have Skills:

• Good to have deep expertise in Biotech & Pharma industries

• Experience in writing APIs to make the data available to the consumers

• Experienced with SQL/NOSQL database, vector database for large language models

• Experienced with data modeling and performance tuning for both OLAP and OLTP databases

• 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
  

Education and Professional Certifications

• 12 to 15 years of experience in Computer Science, IT or related field 

• AWS Certified Data Engineer preferred

• Databricks Certificate preferred

• Scaled Agile SAFe certification 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.

• Ability to learn quickly, be organized and detail oriented.

• 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 an accommodation.

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Experience Level

Senior Level