Description & Requirements The Lead Data Engineer reports to the Senior Manager of Analytics Technology and provides both expert guidance and hands-on development of the enterprise data warehouse, Salesforce CRMA platform, BI delivery, and other related tasks.
The lead is heavily focused on individual contribution in hands-on development, but also provides leadership via assisting on the development of technical architecture, adherence to naming conventions, change control, best practices, DevOps, QA / QC, and other technical topics as well as mentoring more junior team members.
This role also entails documentation development including standard operating procedures, ERDs, data governance, best practices, etc.
Essential Duties and Responsibilities : - Responsible for delivery of systems and solutions, including the assessment of business requirements, collection and identification of technical specifications, and the subsequent development of technology solutions.
• Develop and maintain data integration solutions (including ETL / ELT design and architecture), semantic layer objects, presentation objects, reports, and dashboards for delivery of analytic solutions.
• Translate business needs and requirements to system requirements, data mapping, and data and semantic model design. - Analyze requirements and apply architectural and engineering concepts to develop solutions that meet business needs while maintaining sustainability objectives, including : scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability.
• Conduct code reviews, mentor and guide developers, assign tasks to developers, provide subject-matter expertise to project and leadership teams.
• Provide training and consulting for various technical and non-technical internal teams. - Produce work breakdowns and task estimates (scoping and tracking activities).
• Produce and document standard and best practices. - Provide level 3 support for production systems. Essential Duties and Responsibilities : - Responsible for delivery of systems and solutions, including the assessment of business requirements, collection and identification of technical specifications, and the subsequent development of technology solutions.
• Develop and maintain data integration solutions (including ETL / ELT design and architecture), semantic layer objects, presentation objects, reports, and dashboards for delivery of analytic solutions.
• Translate business needs and requirements to system requirements, data mapping, and data and semantic model design. - Analyze requirements and apply architectural and engineering concepts to develop solutions that meet business needs while maintaining sustainability objectives, including : scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability.
• Conduct code reviews, mentor and guide developers, assign tasks to developers, provide subject-matter expertise to project and leadership teams.
• Provide training and consulting for various technical and non-technical internal teams. - Produce work breakdowns and task estimates (scoping and tracking activities).
• Produce and document standard and best practices. - Provide level 3 support for production systems Minimum Requirements - Bachelor's degree (Master's preferred) in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or related field.
Equivalent experience will be considered in lieu of a degree. - 7+ years of experience in a technical role engineering data and / or analytics solutions.
• Proven track record of successfully delivering large data-centric projects. - Ability to produce high quality documentation of business and system requirements, system design, data architecture, and training materials.
• Expert data skills, including complex queries, performance tuning, expertise in a variety of approaches (e.g., relational, dimensional, unstructured).
• Highly skilled in building data and semantic layers utilizing enterprise analytic tools such as Tableau, Microstrategy or PowerBI.
Bachelor's degree (Master's preferred) in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or related field.
Equivalent experience will be considered in lieu of a degree. - 7+ years of experience in a technical role engineering data and / or analytics solutions.
• Proven track record of successfully delivering large data-centric projects. - Ability to produce high quality documentation of business and system requirements, system design, data architecture, and training materials.
• Expert data skills, including complex queries, performance tuning, expertise in a variety of approaches (e.g., relational, dimensional, unstructured).
• Highly skilled in building data and semantic layers utilizing enterprise analytic tools such as Tableau, Microstrategy or PowerBI.
EEO Statement Active military service members, thei
Location: Shreveport, LA
Posted: Oct. 27, 2024, 5:10 a.m.
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