招聘
Required Skills
Informatica MDM
Informatica IDQ
Python
SQL
Unix
Data modeling
Data governance
AWS
Databricks
Career Category
Information Systems:
Job Description
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 Data Analyst with 5–8 years of experience on MDM development and implementation and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica IDQ and Informatica MDM or Reltio platforms. This role will involve hands-on MDM implementation of MDM solutions using IDQ and Informatica MDM. To succeed in this role, the candidate must have strong IDQ and Informatica OR Reltio MDM technical experience.
Roles & Responsibilities:
- Develop and implement MDM solutions using Informatica IDQ and Informatica MDM platforms or Reltio Platforms
- Define enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows.
- Match/Merge and Survivorship strategy and implementation
- Design and delivery of MDM processes and data integrations using Unix, Python, and SQL.
- Collaborate with backend data engineering team and frontend custom UI team for strong integrations and a seamless enhanced user experience respectively
- Coordinate with business and IT stakeholders to align MDM capabilities with organizational goals.
- Establish data quality metrics and monitor compliance using automated profiling and validation tools.
- Promote data governance and contribute to enterprise data modeling and approval workflow (DCRs).
- Ensure data integrity, lineage, and traceability across MDM pipelines and solutions.
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 5 - 8 years of experience in Business, Engineering, IT or related field OR
- Diploma with 10 - 12 years of experience in Business, Engineering, IT or related field
Functional Skills:
Must-Have Skills:
- Deep knowledge of MDM tools Informatica MDM or Reltio and data quality frameworks (IDQ) from configuring data assets to building end to end data pipelines and integrations for data mastering and orchestrations of ETL pipelines
- Very good understanding on reference data, hierarchy and its integration with MDM
- Hands on experience with custom workflows AVOS, Eclipse etc
- Strong experience with external data enrichment services like Address doctor etc
- Strong experience on match/merge and survivorship rules strategy and implementations
- Strong experience with group fields, cross reference data and UUIDs
- Strong understanding of AWS cloud services and Databricks architecture.
- Proficiency in Python, SQL, and Unix for data processing and orchestration.
- Experience with data modeling, governance, and DCR lifecycle management(Avos).
- Proven leadership and project management in large-scale MDM implementations.
- Able to implement end to end integrations including API based integrations, Batch integrations and Flat file based integrations
- Must have worked on atleast 3 end to end implementations of MDM
- Hands on Unix and Advance sql
Good-to-Have Skills:
- Experience with Tableau or PowerBI for reporting MDM insights.
- 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)
- Any Data Analysis certification (SQL)
- 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.
Role GCF: 04A
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About Amgen
Reviews
3.8
2 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
3.0
Career
4.0
Management
3.0
70%
Recommend to a Friend
Pros
Professional development opportunities
Exposure to diverse functions and projects
Large-scale project experience
Cons
Understaffed with high output expectations
Limited permanent job opportunities
Temporary contract limitations
Salary Ranges
1,544 data points
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0 reports
$94,068
total / year
Base
$37,627
Stock
$47,034
Bonus
$9,407
$65,848
$122,288
Interview Experience
3 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Round Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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