Description

You will develop data workflows, pipelines, views, and stored procedures to support data governance and technology development.

Responsibilities

• Design, implement, and maintain databases and datastores to ensure performance, scalability, and data integrity.
• Write complex SQL queries to analyze data and create views for downstream reporting consumers.
• Translate business user requirements into technical designs and functional data solutions.
• Automate data extraction, transformation, loading, and monitoring tasks using Python and Shell scripting.
• Implement data security and access controls to maintain compliance with industry standards.
• Troubleshoot complex database issues and perform capacity planning to manage scaling requirements.

Required Skills

• 10+ years of experience in data development and solutions within complex, high-volume data environments.
• 7+ years of experience writing ad-hoc and complex SQL queries.
• 5+ years of experience writing production-quality Python code.
• Bachelor’s degree in Computer Science, Software Engineering, or Information Technology.
• Proficiency in Python and Shell scripting for automation.
• Experience with RDBMS systems, specifically Postgres DB.
• Strong analytical skills for interpreting business requirements and translating them into technical specifications.
• Ability to manage multiple concurrent projects and shifting priorities with minimal supervision.

Preferred Skills

• Experience with Tableau, Power BI, or other reporting tools.
• Knowledge of Git, Jenkins, and CI/CD pipelines for automated deployment.
• Experience with Graph DB (Stardog DB), including ontology modeling and semantic graph querying.
• Familiarity with ETL tools and Agile development methodologies.

Key Skills

Education

Bachelor’s degree in computer science