What are the responsibilities and job description for the Senior Data Engineer (Onsite - Nashville, TN) position at Conexess Group?
Onsite - Nashville, TN
The Data Engineer III translates data and information analytic requirements into an information systems data repository/business intelligence system that supports end user data analysis, forecasting and mining. Analyzes business intelligence system's requirements, design specifications, design and implementation of ETL processes, validation/accuracy, maintenance and resource utilization. Must be knowledgeable about creating, enhancing scalability, defining conceptual, logical and physical models and able to participate in tool evaluations.
ESSENTIAL FUNCTIONS:
The incumbent should be able to perform the following functions at a pace and level of performance consistent with the job performance requirements.
The Data Engineer III translates data and information analytic requirements into an information systems data repository/business intelligence system that supports end user data analysis, forecasting and mining. Analyzes business intelligence system's requirements, design specifications, design and implementation of ETL processes, validation/accuracy, maintenance and resource utilization. Must be knowledgeable about creating, enhancing scalability, defining conceptual, logical and physical models and able to participate in tool evaluations.
ESSENTIAL FUNCTIONS:
The incumbent should be able to perform the following functions at a pace and level of performance consistent with the job performance requirements.
- Performs technical planning, system integration, verification and validation, cost, risk, and supportability analyses for total systems to solve complex, non-routine analytics problems.
- Leads design and build of analytic solutions using on-premise and cloud technologies supporting all project phases (concept, design, fabrication, test, installation, operation, maintenance and data archive).
- Ensures the logical and systematic conversion of customer requirements into a solution roadmap that acknowledge technical, data quality, business process, schedule and cost constraints.
- Performs functional analysis, timeline analysis, requirements allocation and interface definition studies to translate customer requirements into analytic solution specifications.
- Responsible for meta data strategy, change data capture and extract strategy, data cleansing and security strategy, various technical standards, performance metrics and usage capacity metrics.
- Works with internal team members; effectively communicates with them in sharing, completing and reviewing work. Provides documentation, mentoring and training to stakeholders for solutions built or technologies being deployed.
- Manages problem and request tickets for assigned technology. Ensures availability of supported technology.
- Maintains relationships with stakeholder departments and ensures all solutions and support is provided in the context of assisting application users succeed in their business goals.
- Experience in Data Security with Entra, Azure and Purview. Work with Data Governance to ensure compliance with company standards.
- Domestic U.S. travel may be required
- Graduate from an accredited college or university with a Bachelor's degree in Information Technology, Computer Science, Business or Engineering is required.
- Seven years of full-time professional experience with progressive responsibility in modern data platform design, API integration, real-time streaming, and message brokering, in addition to data lake/warehouse solution design and development, is required.
- Experience must include: three years of experience writing SQL;
- Extensive background building and delivering data warehouse or data lake solutions using Oracle and/or Microsoft technologies such as Oracle Autonomous Data Warehouse, Azure Data Lake, Data Factory, , Microsoft FabricSynapse Analytics, and Power BI;
- 2 years of experience leading technology-based projects and experience with large databases or data warehouses in an online production environment. Strong functional knowledge of relational database concepts and data structures; demonstration of relational and dimensional data modeling.
- Experience with data quality initiatives, creating delta tables, scrubbing data, and preparing data. Experience with data integration/ ETL tools, specifically Talend, Informatica, Security including Entra, Purview and RLS in Power BI Microsoft Azure Data Factory or other SQL environments such as Power BI.
- Experience with a programming language such as. Python , SAS Viya is preferred. Strong communication skills and ability to engage with senior business leaders is required. Proficiency in Microsoft Office applications is required.
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