Position: Data Modeler
Company: Luxoft
Category: Data Analyst
Experience required: 5y
English level: upper
Published: 2022-04-01T00:00:00+03:00

You will be part of a multi-disciplinary cross border team (Business Analysts / Subject Matter Experts, DevOps engineers, Data Governance officers and Data Quality specialists). The objective is to enable the flow of data from the providers to end users (on a Data Lake architecture).
Responsibilities:
Execute Esperanto process based on an Agile way of working and alignment with the other chapters and stakeholders;
Based on the input of business representatives refine requirements and translate them into business terms and conceptual models.
Deliver according to agreed principles and quality criteria: Esperanto business terms, Conceptual Data Models, data requirements, Logical- and Physical Data Models, requirements mapping and documentation.
Supporting, coaching and training of colleagues in on Esperanto;
Work in close alignment with the DevOps team, final data consumer and countries on the solution development, testing and release
Report on the process and communication to stakeholders.
Maintaining and supporting the usage of the data models in the organization;
Maintaining business terms and definitions, including data quality requirements and additional meta data;
Set up and maintain design principles, standards and guidelines for Esperanto components and way of working;
Mandatory Skills Description:
Previous banking experience: working with financial products and/or regulatory requirements (3 years plus)
Bachelor's degree in Computer Science or related field;
Understanding of Data Management and/or IT architecture areas;
Strong Knowledge of SQL and database concepts;
Understanding of Entity - Relationship Data Modelling / Dimensional Data Modelling, being able to interpret logical and conceptual data models and able to explain these models in a natural language;
Experience with data modelling methods and tools (like Power Designer, InfoSphere Data Architect);
Data Warehousing / Data Modelling / Database Design;
Excellent written and verbal communication English skills.
Nice-to-Have Skills:
Knowledge with the IBM's BDW models;
Experience as Senior Database Developer, Solution Designer or Data Architect (architecture, planning & roadmap, solution definition, solution follow-up & guidance);
Knowledge of and a vision on data management and affinity with IT.
Languages:
English: B2 Upper Intermediate Romanian: C1 Advanced