AgTexas Farm Credit Services needs to ensure reliable data access and analytics across the Association to support its lending, insurance, appraisal, and leasing operations for its member/borrowers. This involves supporting data-driven and process automation initiatives to improve efficiency and decision-making in the agricultural finance sector.
Requirements
- Strong proficiency in SQL
- Solid understanding of relational database concepts
- Familiarity with one or more programming languages such as Python, PowerShell (PS), or Java
- Exposure to cloud data platforms, including Azure or AWS
- Working knowledge of ETL processes and data pipeline development
- Experience or familiarity with data modeling
- Experience or familiarity with data warehousing concepts
Responsibilities
- Design, build, and maintain data pipelines and integrations to ensure reliable access to data across systems.
- Support database design, modeling, and optimization efforts.
- Support and enhance workflow automation solutions using platforms such as Nintex and Microsoft Power Platform (Power Automate, Power Apps, Power BI).
- Assist in managing cloud-based data platforms (e.g., Azure, AWS, etc.).
- Collaborate with analysts and business teams to ensure data availability for reporting and analytics.
- Implement data quality checks, validation processes, and documentation for all data flows.
- Develop and optimize SQL queries, scripts, API management, and automation processes.
Other
- Bachelor's degree in computer science, information systems, data science, related field or equivalent, practical experience.
- Strong problem-solving skills
- Ability to contribute beyond traditional data engineering duties by supporting both data-driven and process automation initiatives.
- Ability to convey technical concepts clearly to non-technical stakeholders.
- Strong interpersonal and excellent oral and written communications skills are required.
