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

Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Systems or equivalent experience
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 implication
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

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)