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Amgen Logo Amgen · IT - Software Development

Data Engineer

India, Hyderabad · Job Posted June 09, 2026
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Job Responsibility

  • Design, develop, and maintain scalable data pipelines and cloud-native data solutions for data ingestion, transformation, processing, and distribution using Databricks, Apache Spark, Airflow, and AWS technologies
  • Design, build, and maintain MuleSoft APIs and integration solutions leveraging API-led connectivity and enterprise integration best practices to enable robust integrations between CRM and cross-functional enterprise systems
  • Develop and optimize ETL/ELT processes to support large-scale structured and unstructured data processing across multiple enterprise platforms
  • Participate in the end-to-end delivery of data engineering solutions including design, development, testing, deployment, monitoring, and operational support
  • Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
  • Build scalable and reusable data processing frameworks, components, and integration services following enterprise engineering standards and best practices
  • Develop and maintain data models, metadata definitions, data dictionaries, and technical documentation to ensure data consistency, accuracy, and governance compliance
  • Implement data validation, reconciliation, and quality control processes to ensure reliability and integrity of enterprise data assets
  • Optimize Spark jobs, SQL queries, APIs, and ETL pipelines for scalability, reliability, and performance
  • Leverage AWS cloud services to develop scalable, resilient, and secure data solutions and integration services
  • Implement monitoring, logging, alerting, and operational support processes for data pipelines, APIs, and cloud-based integrations
  • Support CI/CD automation and DevOps best practices for data engineering and integration deployments
  • Identify, troubleshoot, and resolve complex data processing, integration, and performance-related issues in a timely manner
  • Research and evaluate emerging technologies, tools, and AI-assisted engineering capabilities that improve platform performance, developer productivity, and operational excellence
  • Adhere to software engineering best practices including coding standards, unit testing, reusable component design, peer reviews, and documentation standards
  • Participate in sprint planning, backlog refinement, estimation, and other agile software delivery activities

Requirements

  • Master’s / Bachelor’s degree and 5 to 8 years of Computer Science, IT or related field experience
  • Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
  • Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
  • Skilled in MuleSoft API and Mulesoft integration job design and development
  • Excellent problem-solving skills and the ability to work with large, complex datasets
  • Strong understanding of data governance frameworks, tools, and best practices
  • Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)

Nice to have

  • Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
  • Strong understanding of data modeling, data warehousing, and data integration concepts
  • Knowledge of AnyPoint Platform, Python/R, Databricks, SageMaker, Airflow, AWS cloud data platforms
  • Proficiency in using Databricks Assistant, and other AI tools
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