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MDM Reltio Engineer

求人ID R0000036331 ロケーション ハイデラバード, テランガーナ州 仕事内容

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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