Senior Data Engineer

San Francisco, CA, United States

Afresh Technologies


Role Location

  • San Francisco, CA, United States

Employees

11 - 25 people

Address

777 Florida St Apt 302
San Francisco, CA, 94110-2025, US

Tech Stack

  • Python
  • Docker
  • Kubernetes
  • AWS
  • Azure
  • Google Cloud
  • SQL
  • React
  • Android
  • Pandas
  • Scikit-Learn
  • Swift
  • JavaScript
  • GraphQL
  • Tensorflow
  • Redshift
  • S3
  • Apache Spark
  • iOS

Role Description

What will you be doing? - Building fast and reliable data pipelines that enable training machine learning models over hundreds of millions of historical data points. - Integrating with our customers’ infrastructure, which includes a variety of contemporary and legacy IT systems. Setting up data feeds for the core machine learning engine. - Maintaining transactional, analytic, and NoSQL databases and data lakes over terabytes of data. - Collaborating with an interdisciplinary team of experts in machine learning, data scientists, design, software engineering, and business process optimization

What skills and experience do you need? - Bachelors or Masters in Computer Science or equivalent. - 2+ years of work experience. - Strong programming and problem-solving skills. Excellent knowledge of Python. - Experience working with databases, data lakes, data pipelines, SQL. Experience with big data frameworks such as Apache Spark is a big plus. - Experience working with Microsoft Azure, Amazon Web Services, and other cloud providers. - Familiarity with statistical concepts and/or devops expertise are a plus. Experience with data visualization is a plus.

About Afresh Technologies

Afresh is the first Fresh-first supply chain software company for grocery. Using cutting-edge technology (buzzwords like AI, ML, deep reinforcement learning, etc.), we build tools that help grocers and other supply chain constituents reduce food waste and maximize profit by forecasting demand and optimizing decisions.

Company Culture

Our four cultural values are: Honesty, Proactivity, Humility and Kindness.

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