What are the responsibilities and job description for the Senior Data / Business Intelligence Engineer position at Shrive Technologies?
Job Description (Posting). Job Summary
We are seeking a highly skilled Senior Data / Business Intelligence Engineer to join our organization. The ideal candidate will bring deep expertise across data platforms, business intelligence technologies, and cloud-based data solutions. This role requires strong collaboration skills, the ability to bridge business and technical teams, and proven experience delivering end-to-end data lifecycle solutions.
Experience Required: 7 Years
Location: San Antonio, TX Key Responsibilities
We are seeking a highly skilled Senior Data / Business Intelligence Engineer to join our organization. The ideal candidate will bring deep expertise across data platforms, business intelligence technologies, and cloud-based data solutions. This role requires strong collaboration skills, the ability to bridge business and technical teams, and proven experience delivering end-to-end data lifecycle solutions.
Experience Required: 7 Years
Location: San Antonio, TX Key Responsibilities
- Act as a Data/BI Power User and Data Consumer, working with business units to understand requirements and translate them into actionable technical solutions.
- Serve as a business technology liaison, ensuring alignment between strategic business goals and data-driven deliverables.
- Own, support, and deliver the full data lifecycle, including requirement gathering, data design, modeling, development, testing, deployment, and optimization.
- Develop advanced SQL queries and design data models for both SQL and NoSQL repositories.
- Build, maintain, and optimize dashboards, reports, and analytics using Power BI and other BI tools such as Tableau and Alteryx.
- Utilize data transformation and manipulation tools such as Python and Alteryx to streamline workflows and enhance analytical capabilities.
- Work within Azure cloud environments, contributing to cloud-based data architecture, storage, and pipeline solutions.
- Apply DataOps practices, including CI/CD, automation, and monitoring of data pipelines.
- Collaborate within Agile development environments, using tools like JIRA to plan and execute sprints and iterative releases.
- Leverage understanding of machine learning and AI concepts to support advanced analytics initiatives.
- Apply data engineering vocabulary and architectural principles to support scalable, secure, and reliable data systems.
- Execute project planning and delivery using established project management methodologies.
- Bachelor's degree in computer science, Math, IT, Business, or equivalent work/educational experience.
- Proven experience as a Data/BI power user with strong analytical, visualization, and data consumption skills.
- Demonstrated ability to act as a business liaison, delivering both strategic and tactical solutions.
- Advanced proficiency in SQL, including SQL/NoSQL data modeling techniques.
- Advanced experience with business intelligence and data discovery tools, including Power BI, Tableau, and Alteryx.
- Strong understanding of Cloud Computing, specifically Azure.
- Familiarity with machine learning and AI technologies.
- Experience with DataOps, data engineering terminology, and modern data architecture.
- Experience in Agile environments with tools such as JIRA.
- Strong ability to plan, schedule, and implement projects following standard project management practices.