The kind of person we’re looking for:

The data engineer who is interested in working with data science and large data processing/usage and bringing them to an enterprise level of code quality. Our SaaS platform produces a very high volume of data from different sources and formats. The Data Science team develops the platform to store and process this data and analyze them to produce and productize ideas for our customers. We are a highly team-oriented environment where collaboration between developers and across teams is common – particularly in this role as you will need to work with the data science teams to understand the algorithms as well as the engineering team to be able to move products to production in a reliable way. Giving and receiving of feedback, debate, and ideas for betterment are actively encouraged.

Our company has an open, relaxed, and friendly environment where jokes and silliness are common, yet we’re serious about the work we do. We are a group of bright, curious, and empathetic individuals working together to build data products that bring innovation to the market and provide useful insights to marketers. We value diverse perspectives and believe that encouraging everyone to use their voice ultimately makes our products better!

The kind of stuff you’ll be doing:

  • Designing and developing ETLs' based on AWS’s EMR cluster
  • Develop and maintain testable, predictable, comprehensible Python-based Spark SQL scripts
  • Working collaboratively with other Data Science Engineers to help design and develop new functionality
  • Data investigations to determine causes and severity of issues found in the data
  • Working with the Product team to create requirements and design specifications

The kind of experience you’ll need:

  • Experience writing and debugging SQL queries. This is a must-have skill
  • 5+ years professional experience in software development, Python preferred, 3+ years data engineering experience
  • Experience using AWS Services such as EMR/EC2, EMR Notebooks, Lambda functions, Kinesis, Secrets Manager, S3
  • Experience in working with Hadoop, Spark / Spark SQL, Hive, Oozie, Airflow, streaming
  • Experience with ETLs of any sort
  • Knowledge of Bash
  • Ability to work on a SaaS platform, where SLAs are very important and must be met
  • Excellent written and verbal communication skills
  • Ability to clearly articulate questions, problem solve and create design specifications

The extra stuff that would be nice:

  • Experience with Snowflake database platform
  • Experience with Looker
  • Experience with Java/Scala
  • Exposure to TensorFlow/Keras

For information on our benefits, see here.

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