What you will doHere at Choco, we like to use the space shuttle as a metaphor for our engineering work. Now, you will join and help us bring the shuttle to the moon. Your big mission will be to support the delivery of features that our users appreciate and enjoy. You will do this by becoming one of the main contributors to our data platform, work with data infrastructure, make our product more data-driven, create data instruments around features, supply data pipelines for sophisticated measurements, funnels and metrics to make the squads more aware of product feature usage. You will work in a data platform team and collaborate with product managers, product analytics and engineers from different squads and help us define what and how to measure, validate events, provide support to building dashboards and putting product analytics in place.We want you to independently incept, define, plan and deliver data projects and collaborate with several teams effectively. For our KPIs and business metrics a big portion of our data is coming from our production databases (DynamoDB). You will be responsible to help product teams design their data model in DynamoDB and for propagating any changes in production databases to data-lake. You will also work closely with our Product Data Analyst to define data needs and deliver the mentioned data.Essentially, you will build the bridge between our product and data platform, impacting core features and the user base of Choco.Our teach stack in Data EngineeringWe have a cutting-edge environment and use AWS, Firehose, Athena, Airflow. Data engineering is done primarily with Python, SQL and Spark. Product analytics works with Segment and Amplitude. We create visualizations in Looker.What you will need to have an impact with us
Solid background in data engineering with a strong interest in the product side and analytics.
Strong foundation in Python, SQL and a range of data tools. Spark shouldn’t be foreign to you.
Previous experience and building data platforms and infrastructure. You should be very comfortable working with deployment and DataOps independently when needed.
The ability to take ownership and independently delivering projects is essential.
Strong communication skills combined with a product-savvy attitude.
Good learning ability, open-mindedness and good self-organizational skills will be absolutely key to the success of your work and the business overall.
You will impress us even more if you have
Experience at start-ups and already made growing products more data-driven
Background in business intelligence, ETL and product analytics
Experience with DynamoDB