MDM Data Engineer

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.

ABOUT THE ROLE

Role Description:

We are seeking an experienced MDM Senior Data Engineer with 6–9 years of experience and expertise in backend engineering to work closely with business on development and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica or Reltio and data engineering experience. This role will also involve guiding junior data engineers/analysts, and quality experts to deliver high-performance, scalable, and governed MDM solutions that align with enterprise data strategy. To succeed in this role, the candidate must have strong Data Engineering experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have data engineering experience on technologies like (SQL, Python, PySpark, Databricks, AWS, API Integrations etc), along with knowledge of MDM (Master Data Management)

Roles & Responsibilities:

• Develop the MDM backend solutions and implement ETL and Data engineering pipelines using Databricks, AWS, Python/PySpark, SQL etc

• Lead the implementation and optimization of MDM solutions using Informatica or Reltio platforms.

• Perform data profiling and identify the DQ rules need.

• Define and drive enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows.

• Manage cloud-based infrastructure using AWS and Databricks to ensure scalability and performance.

• Ensure data integrity, lineage, and traceability across MDM pipelines and solutions.

• Provide mentorship and technical leadership to junior team members and ensure project delivery timelines.

• Help custom UI team for integration with backend data using API or other integration methods for better user experience on data stewardship

Basic Qualifications and Experience:

• Master's degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR

• Bachelor's degree with 6 - 9 years of experience in Business, Engineering, IT or related field OR

• Diploma with years of experience in Business, Engineering, IT or related field

Functional Skills:

Must-Have Skills:

• Strong understanding and hands on experience of Databricks and AWS cloud services.

• Proficiency in Python, PySpark, SQL, and Unix for data processing and orchestration.

• Deep knowledge of MDM tools (Informatica, Reltio) and data quality frameworks (IDQ).

• Must have knowledge on customer master data (HCP, HCO etc)

• Experience with data modeling, governance, and DCR lifecycle management.

• Able to implement end to end integrations including API based integrations, Batch integrations and Flat file-based integrations

• Strong experience with external data enrichments like D&B

• Strong experience on match/merge and survivorship rules implementations

• Very good understanding on reference data and its integration with MDM

• Hands on experience with custom workflows or building data pipelines/orchestrations

Good-to-Have Skills:

• Experience with Tableau or PowerBI for reporting MDM insights.

• Exposure or knowledge of DataScience and GenAI capabilities.

• Exposure to Agile practices and tools (JIRA, Confluence).

• Prior experience in Pharma/Life Sciences.

• Understanding of compliance and regulatory considerations in master data.

Professional Certifications:

• Any MDM certification (e.g. Informatica, Reltio etc)

• Databricks Certifications (Data engineer or Architect)

• Any cloud certification (AWS or AZURE)

Soft Skills:

• Strong analytical abilities to assess and improve master data processes and solutions.

• Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.

• Effective problem-solving skills to address data-related issues and implement scalable solutions.

• Ability to work effectively with global, virtual teams

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.