We are looking for a self-starting engineer with a deep desire to learn and develop upon our receipt transcription and consumer application technology stacks. We currently receive over 300k receipt images per day from our top rated mobile apps, running them through a process that includes computer vision, OCR, machine learning, crowd sourcing, big data ETL, and finally down into our data warehouse. This is an opportunity to jump in and get exposed to all of those technologies while making a meaningful impact on our technology and company.
To help accomplish this goal, you will have the environment to execute on your vision, the tools you need to rapidly iterate through your ideas and a dedicated team to help make you and your work better. In addition to writing quality software, we're looking for individuals who also enjoy designing features, making good product decisions, programming at all levels of the stack, and the wearing of many hats.
- Enterprise experience working on Omnichannel Receipt panel data projects
- Enterprise experience building an ingestion pipeline to pull receipt data from vendor API to internal data lake and run statistical checks to ensure receipt of the expected data
- 3+ years of Python experience
- 10+ years writing SQL and working with relational databases (MySQL)
- 1+ years of Django
- 3+ years of Flask experience
- 4+ years of Javascript experience
- 2+ years of C#/.Net experience
- 20+ years of advanced Excel experience
- 10+ years of Visual Basic for Applications (VBA) experience
- 3+ years of Pandas experience
- 2+ years of React experience
- 5+ years of experience with GIT
- Experience with Ansible, Jenkins, and Docker
- Enterprise experience building a testing framework that was used in a Jenkins CICD pipeline to create Docker images that met required specifications, which enables data scientists to build machine learning models to analyze and process consumer receipt data
- Design and develop REST API's
- Experience working with structured and unstructured data and creating ETL processes to ingest this data into a data warehouse or data lake
- Masters Degree required
- Must hold a big data certification especially from edX in Apache Spark
- Work cross functionally with a team of data scientists and engineers to build data pipelines, and use mathematician background to analyze data to identify trends
- Develop solutions that will enable Numerator to run detailed reporting and analysis as it relates to consumer data
- Understanding of general web architecture
- Experience with multithreaded programming
- Experience developing, releasing, and supporting backend code
- Excellent problem solving, critical thinking, and communication skills