Urgent Search: MDM Associate Analyst

3 weeks ago

Hyderabad, Telangana, India Amgen Inc Full time
Job Description

- Analyze and manage customer master data using Reltio or Informatica MDM solutions.
- Perform advanced SQL queries and data analysis to validate and ensure master data integrity.
- Leverage Python, PySpark, and Databricks for scalable data processing and automation.
- Collaborate with business and data engineering teams for continuous improvement in MDM solutions.
- Implement data stewardship processes and workflows, including approval and DCR mechanisms.
- Utilize AWS cloud services for data storage and compute processes related to MDM.
- Contribute to metadata and data modeling activities.
- Track and manage data issues using tools such as JIRA and document processes in Confluence.
- Apply Life Sciences/Pharma industry context to ensure data standards and compliance.

Basic Qualifications and Experience

- Master's degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR
- Bachelor's degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR
- Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field

Functional

Skills:

Must-Have Skills:

- Strong experience with Informatica or Reltio MDM platforms in building configurations from scratch (Like L3 configuration or Data modeling, Assets creations, Setting up API integrations, Orchestration)
- Strong experience in building data mappings, data profiling, creating and implementation business rules for data quality and data transformation
- Strong experience in implementing match and merge rules and survivorship of golden records
- Expertise in integrating master data records with downstream systems
- Very good understanding of DWH basics and good knowledge on data modeling
- Experience with IDQ, data modeling and approval workflow/DCR.
- Advanced SQL expertise and data wrangling.
- Exposure to Python and PySpark for data transformation workflows.
- Knowledge of MDM, data governance, stewardship, and profiling practices.

Good-to-Have Skills:

- Familiarity with Databricks and AWS architecture.
- Background in Life Sciences/Pharma industries.
- Familiarity with project tools like JIRA and Confluence.
- Basics of data engineering concepts.

Professional Certifications

- Any ETL certification (e.g. Informatica)
- Any Data Analysis certification (SQL, Python, Databricks)
- 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

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