Career Category

Operations

Job Description

Amgen is looking for highly motivated expert Senior Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible for designing, 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 data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.

Roles & Responsibilities:

Design, develop, and maintain scalable data pipelines using AWS (Redshift, S3, Glue, Lambda) and Databricks (Spark, Delta Lake) to support enterprise analytics and reporting

Architect and implement robust data models (dimensional and normalized) to enable high-performance querying and optimized reporting in Redshift

Build and optimize batch and real-time data processing frameworks, leveraging Spark Structured Streaming and cloud-native services

Lead data ingestion, transformation, and orchestration workflows ensuring data quality, reliability, and performance at scale

Perform advanced data analytics and root cause analysis to troubleshoot data discrepancies, performance issues, and pipeline failures

Ensure data security, compliance, and role-based access control (RBAC) across data environments

Optimize query performance, indexing strategies, partitioning, and caching for large-scale data sets.

Develop and drive continuous improvements in CI/CD pipelines for automated data pipeline deployments, automated testing, version control, and monitoring for data platforms in a cloud-native environment

Collaborate with cross-functional teams, including data architects, business analysts, and DevOps teams, to align data engineering strategies with enterprise goals.

Stay up to date with emerging data technologies and best practices, ensuring continuous improvement

Partner with BI and reporting teams to support report development, dashboard optimization, and data validation for business stakeholders

Implement data governance best practices including data lineage, auditing, access controls, and performance tuning

Mentor junior engineers and contribute to architectural decisions, code reviews, and engineering standards

Basic Qualifications and Experience:

Any degree with 8 - 13 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills:

Strong solution design and problem solving skills

Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, Redshift, 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 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

8 to 13 years of Computer Science, IT or related field experience

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

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