Posted by: LexisNexis on Jan 12, 2023
The Sr. Data Modeler -is responsible for defining, developing, and maintaining the data models and its implementation. Specialized in the data aspects of architecture and provide value in the development and delivery of models to support the data warehouse and business intelligence environment.
• 5+ years in data management area with a technical competencies required.
• Bachelor's Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.
TECHNICAL SKILLS:5+ years of experience in Data Modeling for Data Warehouse/Data Mart development and Data warehousing (OLAP)/Business Intelligence (BI) applications.5+ years of experience in different database platforms (Oracle, Postgresql and NoSQL) with a focus on modeling for business intelligence environment.Understanding of modeling strategies (Relational, Dimensional, Unstructured).Writing stored procedures, functions, and ETL jobsSolid knowledge of architectural principles.Data analysis, mapping, lineage, and documentationFamiliarity with semantic layers and creating dimensional models.Experience working on Cloud platforms like AWS and Databricks. is a big plus.Advanced problem-solving experience involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues; prior success extracting/translating findings into alternatives/solutions.Strong interpersonal, communication, and presentation skills applicable to a wide audience including senior and executive management, customers, etc., including diction/terminology and presenting information in a concise and effective manner to clients, management, and various departments using assorted communication mediumsACCOUNTABILITIES:Perform daily data loads ensuring recurring updates are logged and tracked.Interface with other technical personnel or team members to document, interpret, and finalize requirements.Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc. Write and review portions of detailed specifications for the development of data components.Complete complex data engineering bug fixes and issues, researching and identifying root causes as appropriate.Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.Work closely with other development team members to understand complex product requirements and translate them into data engineering and/or data management designs.Innovate process improvements that enable efficient delivery and maintenance.Successfully implement development processes, coding best practices, and code reviews.Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.Identify areas where it is an advantage to work with other teams to improve overall quality, and, with peers or others, implement initiatives improving capabilities and efficiency.Train entry-level data engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles.Keep abreast of new technology developments.Design and works with complex data models.Mentor less senior data engineers on methodologies and optimization techniques.LexisNexis, a division of RELX Group, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact firstname.lastname@example.org or if you are based in the US you may also contact us on 1.855.833.5120.
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