Senior Data Engineer Job at Amgen (Hyderabad)

Senior Data Engineer

Amgen

Location:
India , Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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.

Job Responsibility:

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

Requirements:

Any degree with 5 - 9 years of experience in Computer Science, IT or related field
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
5 to 9 years of Computer Science, IT or related field experience

Nice to have:

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
AWS Certified Data Engineer preferred
Databricks Certified preferred
Scaled Agile SAFe certification preferred

Additional Information:

Job Posted:
March 21, 2026

Work Type:

On-site work

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