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Senior Associate Software Engineer Databricks Developer

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Amgen

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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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:
April 12, 2026

Work Type:
On-site work
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