Associate Data Engineer

Job Description

Experience Required: 25 years in Data Engineering with knowledge of MDM platforms Overview: We are seeking an MDM Associate Data Engineer to support and enhance our enterprise Master Data Management (MDM) platforms using Informatica and/or Reltio. This role is crucial for delivering high-quality master data solutions across the organization by leveraging modern tools such as Databricks and AWS. Key Responsibilities: Analyze and manage customer master data using Reltio or Informatica MDM Perform advanced SQL queries and data analysis to ensure master data integrity Utilize Python, PySpark, and Databricks for scalable data processing and automation Collaborate with business and engineering teams to enhance MDM solutions Implement data stewardship workflows including approval and DCR mechanisms Use AWS cloud services for MDM-related storage and compute processes Contribute to metadata management and data modeling activities Track and manage data issues using tools like JIRA and document processes in Confluence Apply Life Sciences/Pharma industry context to ensure data compliance and standards Qualifications: Education: Master's degree with 13 years of experience OR Bachelor's degree with 25 years of experience OR Diploma with 68 years of experience Fields: Business, Engineering, IT, or related disciplines Must-Have Skills: Strong proficiency in Advanced SQL and data wrangling Hands-on experience with: Python PySpark Databricks AWS architecture Knowledge of MDM concepts, data governance, stewardship, and profiling Experience with Informatica MDM or Reltio MDM Good-to-Have Skills: Experience with Informatica Data Quality (IDQ), data modeling, and approval workflows Background in the Life Sciences / Pharma domain Familiarity with tools like JIRA and Confluence Solid grasp of data engineering concepts Certifications (Preferred): ETL certifications (e.g., Informatica) Data analysis certifications (SQL, Python, Databricks) Cloud certifications (AWS, Azure) Soft Skills: Strong analytical and problem-solving abilities Excellent verbal and written communication skills Ability to explain complex data concepts to both technical and non-technical stakeholders Team player with experience working in global, virtual teams