Master data management
DATAECONOMY
Dice Job Match Score™
🔢 Crunching numbers...
Job Details
Skills
- MDM
- master data management
- SQL
- Python
- semarchy
Summary
Semarchy Developer
Experience: 5-7 Years
Location: Hybrid / Charlotte, NC / Onsite (as applicable)
Job Summary
We are seeking a skilled Semarchy Developer with 4-5 years of experience in Master Data Management (MDM), Data Integration, and Data Governance initiatives. The ideal candidate should have hands-on experience implementing and supporting Semarchy xDM solutions, designing data models, developing data integration workflows, and collaborating with business and technical stakeholders to ensure high-quality master data management processes.
Key Responsibilities
- Design, develop, and implement Master Data Management (MDM) solutions using Semarchy xDM.
- Configure and maintain data models, entities, hierarchies, survivorship rules, and match/merge processes.
- Develop and optimize data integration workflows between source systems and Semarchy.
- Implement data quality, data validation, and governance rules.
- Build and support APIs, batch integrations, and real-time interfaces.
- Collaborate with business users, data stewards, and architects to gather and translate business requirements into technical solutions.
- Troubleshoot production issues and perform root cause analysis.
- Support data migration, data cleansing, and master data consolidation initiatives.
- Perform performance tuning and optimization of Semarchy applications and databases.
- Create technical documentation, design documents, and operational runbooks.
- Participate in code reviews, testing, and deployment activities.
Technical Skills
- 4-5 years of experience in Data Management and Data Integration.
- Minimum 2-3 years of hands-on experience with Semarchy xDM.
- Strong hands-on experience with python.
- Strong understanding of MDM concepts including:
- Match and Merge
- Survivorship Rules
- Data Stewardship
- Data Governance
- Reference Data Management
- Experience with SQL and relational databases such as:
- Oracle
- SQL Server
- PostgreSQL
- Experience in developing ETL/Data Integration solutions.
- Knowledge of REST APIs, JSON, XML, and web services.
- Hands-on experience with data quality and data profiling techniques.
- Strong debugging, troubleshooting, and performance optimization skills.
Preferred Skills
- Experience with cloud platforms such as Azure or AWS.
- Exposure to Databricks, Snowflake, or modern cloud data platforms.
- Familiarity with CI/CD methodologies and DevOps practices.
- Experience working in Agile/Scrum delivery environments.
- Exposure to data governance tools and frameworks.
- Dice Id: 91089021
- Position Id: 9137640
- Posted 2 days ago
Company Info
About DATAECONOMY
DATAECONOMY IS a fast-growing Data & Analytics company with a global presence headquartered in Dublin, OH with office in Providence, RI, and an advanced technology center in Hyderabad, India. DATAECONOMY is well recognized and are known for their thought leadership, out-of-the-box products, cutting-edge solution accelerators, innovative business use cases, and cost-effective service offerings.
DATAECONOMY focus on these six core competencies believing that these competencies put together create nimble data enterprises enabling them for better data monetization.
DATA ENGINEERING: We provide services and solutions ranging from data plumbing through data consumption using traditional and modern technologies on either on-prem or cloud.
DATA SCIENCE: We put heavy emphasis on advanced visual analytics using graph technologies while leveraging the AI/ML/NLP to powerup the business use cases.
CLOUD: We have partnerships with major cloud vendors and direct MSA with AWS to deliver their native data platform solutions. A notable offering here is our Data Platform Modernization Suite for quick cloud enablement.
DATA GOVERNANCE: At DATAECONOMY, we look at Data Governance as foundation for Data Monetization beyond compliance. We focus on operationalize the data governance as treat that as an organizational behavioral transformation.
DATAOPS Over the last decade, organizations have matured with their overall DevOps, but we still see lot of white spaces when comes to the DataOps. Our solutions and services address these white spaces while quickly bringing the data organizations catching up to enterprise DevOs.
BLOCKCHAIN: momentum has slowed down in adopting the blockchain across industries as success requires tremendous amount of cross organizational collaborations. We are now working to take our Data Mesh, Data Exchange solutions to Blockchain hoping future is all about sharing and exchanging data amongst the organizations.