Position: Data engineer
Company: Sourceter
Experience required: 3y
English level: upper

Our client is an advanced payment fraud prevention platform for sellers of digital goods, gaming, crypto, and fintech. Its bespoke ML models help merchants to realize their true business potential, increase revenue, decrease costs, minimize churn, and mitigate fraud expenses.

As a data engineer, you’ll be responsible for implementing and maintaining efficient ELT processes that would provide clean, credible, accessible data for data scientists, analysts, BI systems, and other data stakeholders. You’ll also mentor the company’s data analysts in implementing python-based data analysis best practices.
You’ll analyze raw data and use various methods to transform raw data into useful data systems. You’ll work according to industry best practices and find efficient, elegant solutions to different problems in the area of data engineering & governance.

Requirements:
 • Highly analytical and logical thinker with 3 years of experience as a data engineer
 • Excellent communication skills
 • Strong SQL proficiency
 • Experienced with Snowflake ETL / ELT processes (preferably with AWS)
 • Experience in dbt and other data warehousing and ETL tools - advantage
 • Python  -  significant advantage
 • Javascript  - advantage
 • Organized, plans ahead and can see the big picture
 • Thorough, pays attention to details and ties loose ends
 • Love's the startup spirit and would like to join the ride

We Offer:
 •Competitive market salary
 •Flexible working hours
 •Paid sick-leaves and vacations
 •Being a part of Team of professionals who knows how to build world-class products
 •Wide range of excellent opportunities for professional and personal growth