We are seeking an experienced Data Engineer with strong expertise in Reltio Master Data Management (MDM) to design, develop, and optimize enterprise data solutions. The ideal candidate will have hands-on experience with Reltio configuration, APIs, data modeling, and building scalable data pipelines, along with strong analytical and programming skills.
Roles and Responsibilities
- Design, develop, and maintain data solutions using Reltio MDM platform.
- Configure and manage Reltio MDM entities, workflows, and data models.
- Build and support API integrations between Reltio and upstream/downstream systems.
- Develop and optimize data pipelines for ingestion, transformation, and distribution.
- Perform advanced SQL-based data analysis and ensure data accuracy and consistency.
- Implement dimensional data models including star and snowflake schemas in data warehouse environments.
- Work on data integration, transformation, and migration activities across enterprise systems.
- Ensure adherence to data governance, data quality, and performance optimization standards.
- Collaborate with cross-functional teams including data architects, business analysts, and application teams.
- Use Git-based CI/CD pipelines (GitHub/GitLab) for version control and deployment automation.
- Leverage AI-assisted tools (e.g., GitHub Copilot, GitLab Duo, Gemini, or similar) to improve development efficiency.
Required Skills & Experience
- 7–10 years of experience in Data Engineering or related roles.
- Strong hands-on experience with Reltio MDM, including configuration and API usage.
- Solid understanding of Master Data Management (MDM) concepts and implementations.
- Advanced proficiency in SQL and strong programming skills in Python.
- Experience in building data models, pipelines, and API integrations.
- Strong knowledge of data governance, data quality, and performance tuning.
- Exposure to AWS or other cloud-based data services and databases.
- Experience with dimensional modeling (star and snowflake schemas).
- Strong data analysis and problem-solving skills.
- Experience with Git-based CI/CD tools (GitHub or GitLab).
- Familiarity with AI-assisted development tools such as GitHub Copilot, GitLab Duo, or Google Gemini.
Preferred Skills
- Experience working in large-scale enterprise data ecosystems.
- Knowledge of modern data warehouse and cloud data architectures.
- Exposure to data migration and legacy system modernization projects.