Analytics Engineer

You will be supporting the development of an internal tool of the company, following processes and best practises in the Tech team.

Full Time

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About the position

You will focus on the internal Scale Up Tool, a tool to get insight and decisions based on data from our e-commerce apps. We are built on the Modern Data Stack, including top technologies such as Airbyte, Snowflake and dbt. You will work closely with the tech team to ensure a robust and reliable events data stream to Snowflake, building dashboards and reports for the management team. You will perform complex data analysis using SQL and data visualizations using our BI tools.

This is a great role for someone who wants to work with eCommerce data at scale on the Modern Data Stack with a lot of autonomy to build the most impactful data products.

Job requirements

  • Experience with SQL and DBT;
  • Experience with data warehouses Snowflake, Redshift, Bigquery, Databricks (with Snowflake being a plus);
  • Experience with BI and data visaulization tools (Looker, Mode, Tableau, Metabase, Redash, etc.) - doesn't really matter which one, just have built these;
  • Basic experience and familiarity with software engineering & devops tools and best practices (Github, AWS, Heroku, etc.);
  • Experience with Python (or R) is a huge plus (in particular, experience with Airflow, Dagster, Prefect, etc. would be a huge plus);
  • Experience with Airbyte, Fivetran, Meltano would be a huge plus; in general, if you have integrated data into a data warehouse or lake before, this experience will be highly pertinent;
  • Desire to understand business concepts, communicate with business/finance staff on metrics, etc;
  • Requires experience or desire to learn GraphQL, basic API principles (many of our data sources from GraphQL APIs).

Desirable Skills

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