- Develop the MDM backend solutions and implement ETL and Data engineering pipelines using Databricks, AWS, Python/PySpark, SQLetc
- Lead the implementation and optimization of MDM solutions using Informatica or Reltio platforms.
- Perform data profiling andidentifythe DQ rulesneed.
- 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.
- Helpcustom UIteam for integration with backend data using API or other integration methodsfor better user experience on data stewardship
Basic Qualifications and Experience:
- Master s degree with4-6years of experience in Business, Engineering,ITor relatedfield OR
- Bachelor s degree with6-9years of experience in Business, Engineering,ITor relatedfield OR
- Diploma with10-12years of experience in Business, Engineering,ITor related field
Functional Skills:
Must-Have Skills:
- Strong understanding and hands on experience of Databricks and AWS cloud services.
- Proficiencyin 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, HCOetc)
- Experience with data modeling, governance, and DCR lifecycle management.
- Able to implement end to end integrations including API based integrations, Batch integrations and Flatfile-basedintegrations
- Strong experience with external data enrichments like D&B
- Strong experience on match/merge and survivorship rules implementations
- Very goodunderstanding on reference data and its integration with MDM
- Hands on experience with custom workflowsor building data pipelines/orchestrations
Good-to-Have Skills:
- Experience with Tableau orPowerBIfor reporting MDM insights.
- Exposure or knowledge ofDataScienceandGenAIcapabilities.
- 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:
- AnyMDMcertification(e.g.Informatica, Reltioetc)
- Databricks Certifications (Data engineer or Architect)
- Any cloudcertification (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
