MDM Data Engineer

Job Description

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