Career Category
Information Systems
Job Description
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 5 - 9 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
- 5 to 9 years of Computer Science, IT or related field experience
- AWS Certified Data Engineer preferred
- Databricks Certified 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
.