Data Engineer
October 19
Description
• Enhance Data Platform: Work with a cutting-edge data stack, including Jupyter, BigQuery, Airflow, and Looker, integrated directly into the product to make analytics seamless and efficient. • Optimize Infrastructure: Automate processes to improve efficiency and reduce data infrastructure costs. • Collaborate with Analysts: Partner with analysts to refine data workflows and support their projects. • Support Growth: Help shape the future of data engineering at Sweatcoin as we scale our platform to reach millions more users. • Drive Innovation: Lead the charge in bringing new, creative solutions to optimize our data infrastructure and support our product's mission.
Requirements
• Solid Data Tooling Skills: Proficiency in Python, SQL, Git, and Docker. • Advanced Python Knowledge: Strong coding skills with experience in pandas and NumPy. • SQL Expertise: Hands-on experience with advanced SQL concepts (e.g., window functions, subqueries). • Cloud Platform Experience: Familiarity with at least one major cloud provider (preferably GCP). • Bonus Skills: Experience with BigQuery, Airflow, dbt, Firebase, or OpenAI is a plus. • Strong Communication: Fluent English skills to ensure clear team collaboration.
Benefits
• Remote-friendly & Flexible hours: Work from anywhere, with performance focused on results, not hours. • Apple devices for work • Health insurance coverage • WellBeing program • Unlimited time-off policy
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