Associate Data Engineer Job at Amgen (Hyderabad)

Associate Data Engineer

Amgen

Location:
India , Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

We are looking for an Associate Data Engineer in RunOps which needs 24X7 support with deep expertise in managing data pipelines to build scalable, high-performance data solutions. The ideal candidate will be responsible for maintaining complex data pipelines, integration frameworks, and metadata-driven architectures that enable seamless access and analytics. This role prefers deep understanding of the big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.

Job Responsibility:

Data Engineer who owns maintenance of complex ETL/ELT data pipelines to process large-scale datasets
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring
Exploring and implementing new tools and technologies to enhance ETL platform and performance of the pipelines
Proactively identify and implement opportunities to automate tasks and develop reusable frameworks
Eager to understand the biotech/pharma domains & build highly efficient data pipelines to migrate and deploy complex data across systems
Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value
Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories
Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle
Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions

Requirements:

Experience in Data Engineering with a focus on Databricks, AWS, Python, SQL, and Scaled Agile methodologies
Proficiency & Strong understanding of data processing and transformation of big data frameworks (Databricks, Apache Spark, Delta Lake, and distributed computing concepts)
Strong understanding of AWS services and can demonstrate the same
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, and DevOps practices
Bachelor’s degree and 2 to 5 + years of Computer Science, IT or related field experience OR Master’s degree and 1 to 4 + years of Computer Science, IT or related field experience

Nice to have:

Data Engineering experience in Biotechnology or pharma industry
Exposure to APIs, full stack development
Experienced with SQL/NOSQL database, vector database for large language models
Experienced with data modeling and performance tuning for both OLAP and OLTP databases
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 Certificate preferred
Scaled Agile SAFe certification preferred

Additional Information:

Job Posted:
January 18, 2026

Employment Type:

Fulltime

Work Type:

On-site work

Amgen - All Job Offers

Job Link Share: