- Collaborate with business stakeholders to understand MDM requirements and objectives, including data domains, data governance policies, and data quality standards.
- Design and implement master data models, hierarchies, taxonomies, and relationships to support business processes and data integration needs.
- Develop data integration pipelines and ETL workflows to extract, transform, and load master data from source systems into MDM repositories.
- Implement data quality checks, validations, and cleansing routines to ensure the accuracy, completeness, and consistency of master data.
- Configure and customize MDM platforms to meet business needs, including data validation rules, workflow automation, and user access controls.
- Perform data profiling, deduplication, and enrichment activities to enhance the quality and usability of master data assets.
- Collaborate with data architects and solution architects to integrate MDM solutions with existing data management systems applications.
- Monitor MDM performance, identify and resolve data quality issues, and optimize data processes for efficiency and scalability.
- Document MDM processes, data mappings, data lineage, and data governance policies for knowledge sharing and compliance purposes.
- Provide technical support and guidance to business users, data stewards, and IT teams on MDM best practices, tools, and technologies
- Solid understanding of MDM concepts, methodologies, and best practices, with hands-on experience in designing and implementing MDM solutions.
- Proficiency in data modeling, data governance, data quality management, and data stewardship principles and techniques.
- Experience with MDM platforms and tools (e.g., Informatica MDM, Profisee, IBM InfoSphere MDM), including configuration, customization, and administration.
- Strong SQL skills and experience working with relational databases (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra).
- Experience with data integration tools and ETL technologies (e.g., Informatica PowerCenter, Talend, SSIS).
- Familiarity with scripting languages (e.g., Python, PowerShell) for data manipulation, automation, and orchestration.
- Knowledge of cloud computing platforms and services (e.g., AWS, Azure, GCP).
- Experience with Agile or Scrum methodologies.
- Excellent analytical, problem-solving, and troubleshooting skills, with a keen attention to detail.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
- Ability to work independently, prioritize tasks, and manage multiple projects simultaneously.
- Lead the design, development, and deployment of MDM solutions using Informatica Cloud MDM platforms and Profisee.
- Analyze and assess existing master data schemas, data governance policies, and data quality rules to identify areas for improvement and optimization.
- Lead data migration and data synchronization efforts between different MDM systems and data sources, ensuring seamless transitions and minimal disruption to business operations.
- Provide technical leadership, guidance, and mentorship to junior data engineers and MDM developers, fostering a culture of collaboration, innovation, and continuous improvement.
- Experience with data quality management tools.
- Knowledge of data governance principles and practices.
- Familiarity with data privacy regulations (e.g., GDPR, CCPA) and compliance requirements.
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Data Engineer - Chennai, India - ResourceTree Global Services
Description
Role : Senior MDM Data Engineer
Experience : 4 Years
Location : Chennai
Primary Skills : Informatica Cloud MDM, Informatica MDM
Secondary Skills : Profisee
Role Responsibility :