MDM Reltio Engineer
Primary Location: India, Hyderabad Additional Locations: India, Remote Job ID R0000036331 Category ITAbout this Role
Roles / Responsibilities:
Analyzes, estimates and defines project tasks.
Performs design, coding, testing, implementation, and documentation of MDM Solutions specifically Reltio.
Ensures that expected application performance levels are achieved.
Designs, codes, tests, debugs, documents, maintains, and modifies solutions of high complexity, significance, and risk.
Demonstrates good understanding of the business needs driving the projects.
Create automated processes for ingesting master data from source systems into our MDM solution Reltio.
Design, develop, maintain data pipelines using Azure Tech stack like ADF, Azure Databricks and familiarity of knowledge of Data Lake.
Perform data quality profiling processes, measure data quality statistics and resolve data quality issues.
Document requirements, build data flows, and establish acceptance criteria to be used with test cases to ensure Business and IT Data is Fit-for-Purpose.
Engage with Data Owners, Data Stewards, Data Governance, Technology Partners, and Vendor Contractors to achieve expected business outcomes.
Provide status on assigned work items and deliver in a timely manner to project teams.
Participate as a team member of the multi-functional data analytics team.
Participate in process improvements, including process definition, measurement analysis, and implementation of controls.
Qualifications Required:
3+ years as developer with a specialization in master data management tools specifically Reltio.
1+ years of Agile Methodology experience.
Demonstrated experience with Reltio including the development of Trust, Match, and Merge rules.
Understanding of various MDM domains like HCO, HCP, Customer, Site, Project and Organization and their data models.
Experience with Azure Databricks, Azure Data Lake and Azure Eco System.
Understanding of addressing and metadata standards.
Knowledge of cloud and on-premise integration architecture patterns.
Education:
Bachelor’s Degree in Computer Science, Information Technology, or related field preferred.
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