Job
Description
MDM Associate Data Engineer About the Role We are seeking an MDM Associate Data Engineer with 25 years of experience to support and enhance our enterprise Master Data Management (MDM) platforms using Informatica/Reltio. This role is critical in delivering high-quality master data solutions across the organization, utilizing modern tools like Databricks and AWS to drive insights and ensure data reliability. The ideal candidate will have strong SQL, data profiling, and experience working with cross-functional teams in a pharma environment. To succeed in this role, the candidate must have strong data engineering experience along with MDM knowledge. Candidates only having MDM experience are not eligible. Experience with data engineering technologies like SQL, Python, PySpark, Databricks, and AWS is required, alongside knowledge of MDM. Roles & 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 of 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. Basic Qualifications and Experience 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 Advanced SQL expertise and data wrangling. Strong experience in Python and PySpark for data transformation workflows. Hands-on experience with Databricks and AWS architecture. Knowledge of MDM, data governance, stewardship, and profiling practices. Experience with Informatica or Reltio MDM platforms (preferred). Good-to-Have Skills Experience with IDQ, data modeling, and approval workflow/DCR. Background in Life Sciences/Pharma industries. Familiarity with project tools like JIRA and Confluence. Strong grip on data engineering concepts. Professional Certifications (Preferred) ETL Certification (e.g., Informatica) Data Analysis Certification (SQL, Python, Databricks) 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.
