MDM Data Engineer

• 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:

• Masters degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR

• Bachelors 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 on 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