MDM Associate Analyst
Amgen
MDM Associate Analyst
Job Description
ABOUT AMGEN
What you will do
- 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
What we expect of you
- 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
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
- 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
- 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
Good-to-Have Skills
- Very good understanding of DWH basics and good knowledge on data modeling
Compensation
2–5
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
15,000 - 25,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- 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)intermediate
- Strong experience in building data mappings, data profiling, creating and implementation business rules for data quality and data transformationintermediate
- Strong experience in implementing match and merge rules and survivorship of golden recordsintermediate
- Expertise in integrating master data records with downstream systemsintermediate
- Very good understanding of DWH basics and good knowledge on data modelingintermediate
- Experience with IDQ, data modeling and approval workflow/DCRintermediate
- Advanced SQL expertise and data wranglingintermediate
- Exposure to Python and PySpark for data transformation workflowsintermediate
- Knowledge of MDM, data governance, stewardship, and profiling practicesintermediate
- Familiarity with Databricks and AWS architectureintermediate
- Background in Life Sciences/Pharma industriesintermediate
- Familiarity with project tools like JIRA and Confluenceintermediate
- Basics of data engineering conceptsintermediate
Required Qualifications
- Master’s degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR (experience)
- Bachelor’s degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR (experience)
- Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field (experience)
Responsibilities
- 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
Tags & Categories
MDM Associate Analyst
Amgen
MDM Associate Analyst
Job Description
ABOUT AMGEN
What you will do
- 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
What we expect of you
- 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
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
- 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
- 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
Good-to-Have Skills
- Very good understanding of DWH basics and good knowledge on data modeling
Compensation
2–5
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
15,000 - 25,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- 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)intermediate
- Strong experience in building data mappings, data profiling, creating and implementation business rules for data quality and data transformationintermediate
- Strong experience in implementing match and merge rules and survivorship of golden recordsintermediate
- Expertise in integrating master data records with downstream systemsintermediate
- Very good understanding of DWH basics and good knowledge on data modelingintermediate
- Experience with IDQ, data modeling and approval workflow/DCRintermediate
- Advanced SQL expertise and data wranglingintermediate
- Exposure to Python and PySpark for data transformation workflowsintermediate
- Knowledge of MDM, data governance, stewardship, and profiling practicesintermediate
- Familiarity with Databricks and AWS architectureintermediate
- Background in Life Sciences/Pharma industriesintermediate
- Familiarity with project tools like JIRA and Confluenceintermediate
- Basics of data engineering conceptsintermediate
Required Qualifications
- Master’s degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR (experience)
- Bachelor’s degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR (experience)
- Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field (experience)
Responsibilities
- 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
Tags & Categories