Senior Associate - MDM Data Analytics
Amgen
Senior Associate - MDM Data Analytics
Job Description
ABOUT AMGEN
What you will do
- Develop and implement MDM solutions using Informatica IDQ and Informatica MDM 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
What we expect of you
- 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
- Must have worked on atleast 3 end to end implementations of MDM
Must-Have Skills
- Deep knowledge of MDM tools (Informatica MDM) 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
- 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
- Hands on Unix and Advance sql
- 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
- Any MDM certification (e.g. Informatica)
- Any Data Analysis certification (SQL)
- Any cloud certification (AWS or AZURE)
- 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
Good-to-Have Skills
- Very good understanding on reference data, hierarchy and its integration with MDM
Compensation
5–8
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
25,000 - 40,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Deep knowledge of MDM tools (Informatica MDM) 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 pipelinesintermediate
- Very good understanding on reference data, hierarchy and its integration with MDMintermediate
- Hands on experience with custom workflows AVOS, Eclipse etcintermediate
- Strong experience with external data enrichment services like Address doctor etcintermediate
- Strong experience on match/merge and survivorship rules strategy and implementationsintermediate
- Strong experience with group fields, cross reference data and UUIDsintermediate
- Strong understanding of AWS cloud services and Databricks architectureintermediate
- Proficiency in Python, SQL, and Unix for data processing and orchestrationintermediate
- Experience with data modeling, governance, and DCR lifecycle management(Avos)intermediate
- Proven leadership and project management in large-scale MDM implementationsintermediate
- Able to implement end to end integrations including API based integrations, Batch integrations and Flat file based integrationsintermediate
- Hands on Unix and Advance sqlintermediate
- Experience with Tableau or PowerBI for reporting MDM insightsintermediate
- Exposure to Agile practices and tools (JIRA, Confluence)intermediate
- Prior experience in Pharma/Life Sciencesintermediate
- Understanding of compliance and regulatory considerations in master dataintermediate
- Any MDM certification (e.g. Informatica)intermediate
- Any Data Analysis certification (SQL)intermediate
- Any cloud certification (AWS or AZURE)intermediate
- Strong analytical abilities to assess and improve master data processes and solutionsintermediate
- Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholdersintermediate
- Effective problem-solving skills to address data-related issues and implement scalable solutionsintermediate
- Ability to work effectively with global, virtual teamsintermediate
Required Qualifications
- Master’s degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR (experience)
- Bachelor’s degree with 5 - 8 years of experience in Business, Engineering, IT or related field OR (experience)
- Diploma with 10 - 12 years of experience in Business, Engineering, IT or related field (experience)
- Must have worked on atleast 3 end to end implementations of MDM (experience)
Responsibilities
- Develop and implement MDM solutions using Informatica IDQ and Informatica MDM 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
Tags & Categories
Senior Associate - MDM Data Analytics
Amgen
Senior Associate - MDM Data Analytics
Job Description
ABOUT AMGEN
What you will do
- Develop and implement MDM solutions using Informatica IDQ and Informatica MDM 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
What we expect of you
- 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
- Must have worked on atleast 3 end to end implementations of MDM
Must-Have Skills
- Deep knowledge of MDM tools (Informatica MDM) 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
- 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
- Hands on Unix and Advance sql
- 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
- Any MDM certification (e.g. Informatica)
- Any Data Analysis certification (SQL)
- Any cloud certification (AWS or AZURE)
- 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
Good-to-Have Skills
- Very good understanding on reference data, hierarchy and its integration with MDM
Compensation
5–8
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
25,000 - 40,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Deep knowledge of MDM tools (Informatica MDM) 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 pipelinesintermediate
- Very good understanding on reference data, hierarchy and its integration with MDMintermediate
- Hands on experience with custom workflows AVOS, Eclipse etcintermediate
- Strong experience with external data enrichment services like Address doctor etcintermediate
- Strong experience on match/merge and survivorship rules strategy and implementationsintermediate
- Strong experience with group fields, cross reference data and UUIDsintermediate
- Strong understanding of AWS cloud services and Databricks architectureintermediate
- Proficiency in Python, SQL, and Unix for data processing and orchestrationintermediate
- Experience with data modeling, governance, and DCR lifecycle management(Avos)intermediate
- Proven leadership and project management in large-scale MDM implementationsintermediate
- Able to implement end to end integrations including API based integrations, Batch integrations and Flat file based integrationsintermediate
- Hands on Unix and Advance sqlintermediate
- Experience with Tableau or PowerBI for reporting MDM insightsintermediate
- Exposure to Agile practices and tools (JIRA, Confluence)intermediate
- Prior experience in Pharma/Life Sciencesintermediate
- Understanding of compliance and regulatory considerations in master dataintermediate
- Any MDM certification (e.g. Informatica)intermediate
- Any Data Analysis certification (SQL)intermediate
- Any cloud certification (AWS or AZURE)intermediate
- Strong analytical abilities to assess and improve master data processes and solutionsintermediate
- Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholdersintermediate
- Effective problem-solving skills to address data-related issues and implement scalable solutionsintermediate
- Ability to work effectively with global, virtual teamsintermediate
Required Qualifications
- Master’s degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR (experience)
- Bachelor’s degree with 5 - 8 years of experience in Business, Engineering, IT or related field OR (experience)
- Diploma with 10 - 12 years of experience in Business, Engineering, IT or related field (experience)
- Must have worked on atleast 3 end to end implementations of MDM (experience)
Responsibilities
- Develop and implement MDM solutions using Informatica IDQ and Informatica MDM 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
Tags & Categories