checkout.com - Data Analytics Engineer I

• 2+ years of experience in an Analytics Engineering or Data Engineering role with a focus on large scale data transformation and data warehousing. • Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. • Experience with data transformation tools such as dbt, or Dataflow. • Understanding of data modeling techniques. • Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset. • Understanding of software engineering best practices and their application to data processing systems. • Knowledge of Python, Java or Flink is a plus, but not a necessity. • Strong attention to detail. • Ability to work autonomously in a fast-paced and dynamic environment. • Strong communication and interpersonal skills. • It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. • Life at Checkout.com http://Checkout.com • We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. • Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. • For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/