• Demonstrated experience developing custom database tools, queries, and Apache NiFi flows.
• Demonstrated experience designing, building, and deploying production data pipelines incorporating SQL, NoSQL, and other data storage and query backends.
• Demonstrated experience with designing logical data architectures and conducting data extraction, parsing, and manipulation; particularly, cleaning labeled data in preparation for use in machine learning and statistical approaches.
• Demonstrated experience creating and maintaining systems and architectural documentation
• Demonstrated experience conducting data extraction, parsing, manipulation, feature engineering, and storage of diverse data sets.
• Demonstrated experience with Python and SQL.
• Demonstrated experience building and maintaining CI/CD pipelines with software such as source control (Git/GitHub), continuous build/delivery (Jenkins), issue management (Jira), documentation/ collaboration (Confluence), automated testing, and deployment of infrastructure or configurations.
• Demonstrated experience with provisioning and management cloud compute resources and services, such as AWS, Azure, or similar.
• Demonstrated experience with distributed computation, including experience creating parallel processing solutions.
• Demonstrated experience in automating data preparation methods.
• Demonstrated experience creating CLI tools and documentation.
• Demonstrated experience with the sponsor’s data management lifecycle
• Demonstrated experience balancing competing activities and priorities
• Bachelor’s or Advanced Degree in Computer Science, Information Systems, or a scientific discipline.