MDM Associate Data Engineer

We are seeking an MDMAssociate Data Engineer with2-5 years of experience to support and enhance our enterprise MDM (Master Data Management) platforms using Informatica / Reltio. This role is critical in delivering high-quality master data solutions across the organization,utilizingmodern 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, 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, AWSetc), along with knowledge of MDM (Master Data Management)

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 in 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:

• Masters degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR
• Bachelors 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

Functional Skills:

Must-Have Skills:

• Advanced SQL expertise and data wrangling.
• Strong experience in Python and PySpark for data transformation workflows.
• Strong experience with Databricks and AWS architecture.
• Must have knowledge of MDM, data governance, stewardship, and profiling practices.
• In addition to above, candidates having experience with Informatica or Reltio MDM platforms will be 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:

• Any ETL certification (e.g. Informatica)
• Any Data Analysis certification (SQL, Python, Databricks)
• 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