Associate Data Engineer - MDM

Yash Technologies

Indore District

On-site

INR 600,000 - 1,200,000

Full time

7 days ago
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Job summary

YASH Technologies, Inc. is seeking an MDM professional to support data management initiatives.

You will analyze data, develop and maintain SQL/Python-based ETL pipelines, run data quality validations, and collaborate with business and technology teams to ensure high-quality master data. The role requires 1-3 years of experience in MDM and related data engineering tasks, with a focus on data governance and quality.

Qualifications

  • Must have solid understanding of Master Data Management 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 with data quality checks and data validation activities on large datasets.
  • Excellent analytical, problem-solving, and communication skills.

Skills

MDM concepts
SQL
Python ETL
Data quality checks
Data validation
Analytical thinking
Communication skills

Job description

We are looking forward to hire MDM Professionals in the following areas :

Role Summary: Support MDM operations and data management initiatives by performing data analysis, developing and maintaining SQL/Python-based ETL pipelines, executing data quality validations, and collaborating with business and technology teams to ensure high-quality, reliable, and compliant master data.

Experience: 1-3 Years

Must-Have Skills:
  • 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.
Good-to-Have 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.
Our Hyperlearning workplace is grounded upon four principles
  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture
Disclaimer

This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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