Key Responsibilities:

• Design, implement, and deploy enterprise data solutions using cutting-edge cloud-based technologies
• Follow Agile methodologies to release iterative feature sets very rapidly
• Research and introduce new solutions and technologies to the project and stakeholders, provide technical guidance and suggest improvements in development
• Work independently, without guidance, with broader overview on the project
• Coordinate with other teams as part of a larger data-sharing system
• Employ software development best practices such as automated testing, peer code reviews, continuous integration, and continuous delivery
• Translate business requirements and develop technical specifications
• Communicate clearly and document processes
• Perform quality assurance and testing of your work
• Contribute to a collaborative, positive, stimulating, and enjoyable environment for your development team

Must Haves:

• Must have 5+ years of work experience with programming languages and object-oriented design (Python preferred)
• Must have strong database fundamentals including SQL, relational and non-relational data models and schema designs, and understanding of database performance implications
• Must have understanding of cloud-based technologies (AWS, GCP or Azure, AWS preferred)
• Must have experience leveraging automated tests for code validation and test-driven development
• Must have experience building and deploying products using continuous integration principles
• Must have working knowledge of software engineering and development methodologies, techniques, and tools, including Issue Tracking (like JIRA), code repositories (like Git, Bitbucket) and the Software Development Lifecycle
• Experience building workflow orchestration, logging, error handling and automated testing utilizing Python and the Pytest framework
• Understanding of “Big Data” ETL methodologies and managing large scale data sets
• Strong understanding of data structures, algorithms, and distributed systems

Good to Haves:

• Experience with Snowflake data warehouse including scheduled tasks, table streams and JavaScript stored procedures
• Experience with AWS services (such as S3, EC2, RDS, EMR, Lambda or SNS/SQS)
• Experience with data processing workflow systems (Apache Nifi, Talend or Airflow)
• Experience with creating reports, dashboards and visualizations (Tableau preferred)