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Profisee MDM Developer

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Onsite

Profisee MDM Developer

TeamLease

Profisee MDM Developer

Skills

SQL QueriesData EngineeringTableauPythonData AnalysisPySparkPower BI

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

17 September 2026

What they need


Role & responsibilities

We are looking for an experienced Data Engineer with strong Profisee MDM expertise to design, develop, implement, and support Master Data Management solutions. The candidate should have hands-on experience with Profisee MDM and strong data engineering and BI skills.

Key Responsibilities

  • Design, develop, and maintain Profisee MDM solutions for enterprise master data management.
  • Configure and manage Profisee MDM models, entities, attributes, hierarchies, business rules, workflows, and data quality processes.
  • Develop and maintain data integration pipelines between Profisee and various source/target systems.
  • Perform data profiling, cleansing, validation, matching, merging, and deduplication.
  • Work with business and technical teams to define master data governance and data quality rules.
  • Develop data transformation and processing solutions using Python and PySpark.
  • Analyze large datasets and troubleshoot data quality and integration issues.
  • Build advanced Power BI and Tableau dashboards for reporting, analytics, and master data insights.
  • Support data migration, reconciliation, testing, and production deployments.
  • Monitor MDM processes and resolve data-related issues within defined SLAs.
  • Collaborate with data architects, analysts, developers, and business stakeholders to deliver MDM solutions.

Required Skills

  • 58 years of experience in Data Engineering / MDM / Data Management.
  • Strong hands-on experience with Profisee MDM – Mandatory.
  • Good understanding of Master Data Management (MDM), Data Quality, Data Governance, Matching, and Deduplication.
  • Strong experience with Power BI/ Tableau.
  • Good-to-have experience with PySpark.
  • Strong SQL and database knowledge.
  • Experience with data integration, ETL/ELT pipelines, and data transformation.
  • Strong analytical and problem-solving skills.
  • Ability to work with business stakeholders and translate data requirements into technical solutions.

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