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Associate Data Engineer – MDM
YASH Technologies. Support MDM operations and data management initiatives .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Master Data Management (MDM) concepts and processes, with strong capabilities in SQL and Python for developing ETL pipelines and performing data analysis. Proven ability to ensure data quality and collaborate effectively with cross-functional teams in the Pharma/Life Sciences domain.
Highest-signal resume keywords
Master Data Management (MDM)SQL Data Extraction and TransformationPython ETL Pipeline DevelopmentData Quality ValidationAgile Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonETL DevelopmentData AnalysisData Quality ChecksData ValidationData ProcessingData GovernanceTroubleshootingLarge Datasets
Soft Skills
Analytical SkillsProblem-SolvingCommunication Skills
Tools & Technologies
ETL ToolsCloud-Based Data Platforms
Industry Keywords
PharmaLife SciencesMaster Data DomainsCustomer DataProduct DataHCP DataHCO Data
Tech Stack
Tools & technologiesCloudETLPythonSQL
About the role
Key responsibilities & impact- Support MDM operations and data management initiatives
- Perform data analysis
- Develop and maintain SQL/Python-based ETL pipelines
- Execute data quality validations
- Collaborate with business and technology teams
- Ensure high-quality, reliable, and compliant master data
Requirements
What you’ll need- 1–3 years of experience
- Working knowledge of Master Data Management (MDM) concepts, processes, and data governance
- Strong SQL skills for data extraction, transformation, analysis, and troubleshooting
- Proficiency in Python for data processing, automation, and ETL pipeline development
- Experience working with large datasets, data quality checks, and data validation activities
- Strong analytical, problem-solving, and communication skills
- Exposure to Pharma/Life Sciences master data domains (Customer, Product, HCP, HCO, etc.)
- Experience with ETL tools, data migration projects, and cloud-based data platforms
- Familiarity with Agile delivery methodologies and cross-functional team collaboration
Benefits
Comp & perks- Flexible work arrangements
- Inclusive team environment
- Career-oriented skilling models
- Continuous learning, unlearning, and relearning opportunities
- Agile self-determination, trust, transparency, and open collaboration
- Support needed for the realization of business goals
- Stable employment
- Ethical corporate culture
- Great atmosphere