Our client is looking for Data Modeler for their Data Warehouse Initiatives. 

Mandatory Skill(s)

  • Should have graduated bachelor’s degree in IT or related field;
  • Good track record in Data Warehouse design and implementation of Data Management Strategies;
  • Require minimum 3 years of working experience as a Data Modeler;
  • Must have worked in Erwin or similar data modeling tools;
  • Well experienced in solution design, architecture of conceptual, logical and physical data model;
  • Hands on experience in SQL scripting, data analysis, data integration and data management tools;
  • Experience in Big data technology and Meta-data management;
  • Knowledge of operational data store, data warehouse, transactional data store and data modeling products/techniques;
  • Excellent communication skills;
  • Strong Team player;

Desirable Skill(s)

  • Knowledge of BI reporting tools;
  • Experience in Financial Services domain;

Responsibilities

  • Develop data modeling practices to align with applications;
  • Manage, understand and translate business needs into data models and build data models/flows;
  • Work closely with application and vendor teams to ensure that they understand the data model/flow and provide the subject matter expertise for Data related matters;
  • Establish data strategies, design, architecture, build conceptual/logical/physical data models and flows and communicate with the application development team for adoption;
  • Define, develop and deliver consistent information and data standards, methodologies, guidelines, best practice and approved modeling techniques around data quality, data governance and data security;
  • Perform in data analysis and data profiling;
  • Analyze and document the technical and business metadata about the data as well as providing insight into the data itself;
  • Work closely with development team to analyze business needs and ensure that the data integration team prepares the model design and development to complete data models in line with the business requirements;
  • Work with DBA team on schema changes and performance tuning on physical data model by building physical data structures and re-normalization;
  • Conduct training programs for junior resources. 
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