What you’ll need to succeed
- 3 or more years of experience in Data Engineering roles focused on the ingestion, transformation, tooling and data architecture positions on Data Platform mindset teams
- Excellent Python or Scala coding skills, plus SQL and experience with DBT (Python required, Scala, is a bonus!)
- Experience building data tools to empower and democratize the access to data processes like pipelines (ETL), data governance, and BI solutions
- Highly skilled in using multiple data sources, and the ability to simplify and effectively visualize and communicate complex insights
- Self-assurance with owning project timelines, prioritizing tasks, managing stakeholders, and assessing speed/accuracy tradeoffs
- Ability to write and review technical documents, including design, development, and revision documents
- Have a vision for what the data-driven future could be at Superside and then take part in bringing that vision to life
- Comfortable with owning project timelines, prioritizing tasks, and assessing speed/accuracy tradeoffs
- Knowledge of statistical concepts used in exploratory data analysis and a strong understanding of experiment assessment, trend and correlation identification techniques