Datatonic Americas is a full data stack consultancy. We aim to become the leading experts in Modern Data Stack consulting on the market.
To achieve our goal, we have the highest development standards & best practices, we share knowledge through learning sessions and our internal knowledge base, we participate in data communities and actively support the continuous growth of our team (conferences, training, certification, coaching, etc.).
Our clients range from the hottest scale-ups in North America to renowned public tech companies.

QUALIFICATIONS:

• 2+ years of experience in a data role (Data Engineer, Data Analyst, Analytics Engineer, etc.)
• Hands-on experience with dbt, a modern Data Warehouse like Snowflake or BigQuery and Kimball modeling
• Natural ability to manage multiple initiatives and clients
• Proficiency in writing analytical SQL and understanding of the difference between SQL that works, and performant SQL
• Experience translating business requirements into technical solutions
• Ability to communicate complex ideas in a simple way to a wide range of audiences
• Strong ability to manage multiple concurrent engagements
• Complete alignment with our culture of transparency, empathy, accountability and performance

Bonus points:

• dbt Developer certification
• Google Cloud Professional Data Engineer certification
• Snowflake’s Snowpro Certification
• Experience with Scrum Methodology

THE ROLE

Analytic Engineers at Datatonic work on various types of engagements involving the Modern Data Stack. They bring their expertise on our technologies of choice: dbt, Looker, Snowflake, BigQuery, Google Cloud, Sigma, Fivetran, Mixpanel and Census. They lead engagements with our clients, working hand-in-hand with the Data Product Owner while supporting the team and contributing to the code when necessary.