Job
Description
Role Description We are seeking an experienced MDM Senior Data Engineer with 6 9 years of experience and expertise in backend engineering to work closely with business on development and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica or Reltio and data engineering experience. This role will also involve guiding junior data engineers /analysts, and quality experts to deliver high-performance, scalable, and governed MDM solutions that align with enterprise data strategy. To succeed in this role, the candidate must have strong Data Engineering experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have data engineering experience on technologies like (SQL, Python, PySpark, Databricks, AWS, API Integrations etc), along with knowledge of MDM (Master Data Management). Roles & Responsibilities: Develop the MDM backend solutions and implement ETL and Data engineering pipelines using Databricks, AWS, Python/PySpark, SQL etc. Lead the implementation and optimization of MDM solutions using Informatica or Reltio platforms. Perform data profiling and identify the DQ rules needed. 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. Help custom UI team for integration with backend data using API or other integration methods for better user experience on data stewardship. Basic Qualifications and Experience: Master's degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR Bachelor's degree with 6 - 9 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 Functional Skills: Must-Have Skills: Strong understanding and hands-on experience of Databricks and AWS cloud services. Proficiency in 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, HCO etc). Experience with data modeling, governance, and DCR lifecycle management. Able to implement end-to-end integrations including API-based integrations, Batch integrations, and Flat file-based integrations. Strong experience with external data enrichments like D&B. Strong experience on match/merge and survivorship rules implementations. Very good understanding of reference data and its integration with MDM. Hands-on experience with custom workflows or building data pipelines/orchestrations. Good-to-Have Skills: Experience with Tableau or PowerBI for reporting MDM insights. Exposure or knowledge of DataScience and GenAI capabilities. 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: Any MDM certification (e.g. Informatica, Reltio etc). Databricks Certifications (Data Engineer or Architect). 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.
