Sr. Associate Software Engineer
Amgen
Sr. Associate Software Engineer
Job Description
Career CategoryEngineeringJob DescriptionWhat you will doLet’s do this. Let’s change the world.In this vital role as Data Engineer at Amgen, you will play a key role in designing, building, and maintaining scalable data solutions that enable trusted insights and support critical business decisions.This position is focused on supporting the OUS Field Engagement Team, working closely with stakeholders across the JAPAC and ELMAC regions. You will collaborate with global and regional teams to deliver data solutions that support field operations, customer engagement, and analytics use cases in a complex, multi-region environment.You will work in an Agile (SAFe) environment, contribute to supporting enterprise data initiatives primarily built on Informatica ETL, including the future migration from Informatica to Databricks.Key ResponsibilitiesDesign, develop, maintain, and optimize ETL pipelines using Informatica, ensuring high data quality, performance, and reliabilitySupport and contribute to the future transition of Informatica workloads to Databricks (Spark, Delta Lake)Build and enhance data pipelines for ingestion, transformation, and processing of large-scale datasets supporting OUS Field Engagement use casesCollaborate with Data Architects, Business SMEs, Product Owners, and Senior Data Engineers across JAPAC and ELMAC regions to deliver end-to-end data solutionsParticipate actively in a SAFe/Agile team, contributing to PI planning, sprint execution, and continuous improvementSupport data governance, metadata management, and data quality initiativesIdentify, troubleshoot, and resolve complex data issues across systemsApply best practices for coding, testing, documentation, and reusable component designTranslate business and technical requirements into well-structured development tasksExecute unit and integration testing to ensure solution robustness and compliance with quality standardsMonitor data pipelines and applications, supporting ongoing maintenance and performance optimizationContribute to CI/CD and DevOps practices for data engineering solutionsMentor junior team members and promote data engineering best practicesWhat we expect of youWe are all different, yet we all use our unique contributions to serve patients.Basic QualificationsBachelor’s or Master’s degree in Computer Science, Data Engineering, IT, or a related field4–7 years of relevant data engineering experience, with strong hands-on ETL backgroundPreferred QualificationsStrong experience with Informatica (PowerCenter, IICS)Exposure to Databricks, Apache Spark, PySpark, or Spark SQLFamiliarity with SAFe or Agile delivery modelsExperience or exposure to Master Data Management (MDM)Experience with Veeva systems (nice to have)Experience supporting Field Engagement or Commercial data domains (preferred)Must-Have SkillsAdvanced ETL development experience, particularly with InformaticaStrong SQL skills for data extraction, transformation, and analysisSolid understanding of data modeling and entity relationshipsWorking knowledge of Python and/or PySparkExperience supporting production data pipelines and resolving data issuesAbility to work effectively in global, cross-regional teamsSoft SkillsStrong problem-solving and analytical mindsetExcellent communication and collaboration skills, including with global stakeholders across regionsProven team player with experience in Agile/SAFe environmentsHigh attention to detail and commitment to data qualityAbility to manage priorities and work in a fast-paced environmentWillingness to mentor junior engineers and share knowledgeAdaptable to evolving technologies and business needs.
Locations
- India - Hyderabad
Skills Required
- Informaticaintermediate
- SAFeintermediate
- Veeva systemsintermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, IT, or a related field (degree in master)
- 4–7 years of relevant data engineering experience, with strong hands-on ETL background (experience, 7 years)
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, IT, or a related field (degree in master)
- 4–7 years of relevant data engineering experience, with strong hands-on ETL background (experience, 7 years)
Preferred Qualifications
- Strong experience with Informatica (PowerCenter, IICS) (experience)
- Exposure to Databricks, Apache Spark, PySpark, or Spark SQL (experience)
- Familiarity with SAFe or Agile delivery models (experience)
- Experience or exposure to Master Data Management (MDM) (experience)
- Experience with Veeva systems (nice to have) (experience)
- Experience supporting Field Engagement or Commercial data domains (preferred) (experience)
- Strong experience with Informatica (PowerCenter, IICS) (experience)
- Exposure to Databricks, Apache Spark, PySpark, or Spark SQL (experience)
- Familiarity with SAFe or Agile delivery models (experience)
- Experience or exposure to Master Data Management (MDM) (experience)
- Experience supporting Field Engagement or Commercial data domains (preferred) (experience)
Responsibilities
- Let’s do this. Let’s change the world.
- In this vital role as Data Engineer at Amgen, you will play a key role in designing, building, and maintaining scalable data solutions that enable trusted insights and support critical business decisions.
- This position is focused on supporting the OUS Field Engagement Team, working closely with stakeholders across the JAPAC and ELMAC regions. You will collaborate with global and regional teams to deliver data solutions that support field operations, customer engagement, and analytics use cases in a complex, multi-region environment.
- You will work in an Agile (SAFe) environment, contribute to supporting enterprise data initiatives primarily built on Informatica ETL, including the future migration from Informatica to Databricks.
- Design, develop, maintain, and optimize ETL pipelines using Informatica, ensuring high data quality, performance, and reliability
- Support and contribute to the future transition of Informatica workloads to Databricks (Spark, Delta Lake)
- Build and enhance data pipelines for ingestion, transformation, and processing of large-scale datasets supporting OUS Field Engagement use cases
- Collaborate with Data Architects, Business SMEs, Product Owners, and Senior Data Engineers across JAPAC and ELMAC regions to deliver end-to-end data solutions
- Participate actively in a SAFe/Agile team, contributing to PI planning, sprint execution, and continuous improvement
- Support data governance, metadata management, and data quality initiatives
- Identify, troubleshoot, and resolve complex data issues across systems
- Apply best practices for coding, testing, documentation, and reusable component design
- Translate business and technical requirements into well-structured development tasks
- Execute unit and integration testing to ensure solution robustness and compliance with quality standards
- Monitor data pipelines and applications, supporting ongoing maintenance and performance optimization
- Contribute to CI/CD and DevOps practices for data engineering solutions
- Mentor junior team members and promote data engineering best practices
- Design, develop, maintain, and optimize ETL pipelines using Informatica, ensuring high data quality, performance, and reliability
- Support and contribute to the future transition of Informatica workloads to Databricks (Spark, Delta Lake)
- Build and enhance data pipelines for ingestion, transformation, and processing of large-scale datasets supporting OUS Field Engagement use cases
- Collaborate with Data Architects, Business SMEs, Product Owners, and Senior Data Engineers across JAPAC and ELMAC regions to deliver end-to-end data solutions
- Participate actively in a SAFe/Agile team, contributing to PI planning, sprint execution, and continuous improvement
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