Associate Data Engineer

Experience Required:

2 to 7 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