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Middle Data Engineer
Who we need

We are seeking for Middle Data Engineer to join our team. In this role, you will be responsible for processing and managing data assets by setting up automation and manually processing one-off inbound requests. You will work with Snowflake, AWS suite, and other ETL tools.

Must have
  • 2+ years of experience with Python

  • Proficient in SQL and familiar with Git and SDLC practices

  • Basic experience with AWS

  • Excellent analytical and problem-solving skills

  • Ability to work independently and in a team environment

  • At least an Intermediate strong level of English 

Will be a plus
  • Experience with Snowflake

  • Familiarity with DBT

  • Process and manage data assets by setting up automation and manually processing one-off inbound requests

  • Organize, structure, and schedule jobs to run concurrently or sequentially as needed

  • Use automated jobs in Snowflake (e.g., Snowpipes), “out of the box” ETL tools (e.g., DBT), and work inside AWS’s suite to ensure we are using the correct tool for the use-case

  • Collaborate with cross-functional teams to identify opportunities for process improvement and automation

  • Develop and maintain documentation for data processing and automation workflows

  • Ensure the quality, accuracy, and reliability of all processed data assets

  • Stay up-to-date with emerging data processing technologies and tools

About Project
Location: USA

The product creates a membership-based Data Co-Op ecosystem that offers reliable and high-quality data and services for digital and SaaS products. The Co-Op ecosystem provides access to leading data streams, ML models, and data strategy and is built on top of Snowflake and Molecula's platforms. By utilizing a "consumption validation model", the platform ensures that the data provided by its members is of high quality. The Co-Op ecosystem aims to provide fixed-price access to uninterrupted data and services without relying on traditional 3rd party suppliers. With over 2.8 trillion rows of data managed in 2021 and 20+ top data strategy experts, the platform is poised to help its members innovate and outperform their competitors in their respective markets.

Work Schedule
Full-time working day in our office (flexible hours) or full-time remote.
Interview Stages

1) Call with Recruiter
2) Technical interview with Senior Data Engineer
3) Client interview

Our Benefits
  • Opportunity to work with the most trending technologies, no legacy, no bureaucracy;
  • Work from anywhere (fully remotely or in our office);
  • Paid vacations and sick leaves, additional days off, relocation bonus;
  • Wellness: Medical insurance/sports compensation/ health check-up+flu vaccination at your choice;
  • Education: regular tech talks, educational courses, paid certifications, English classes;
  • Fun: own football team, budget for team lunches, branded gifts;
  • One of the best IT employers in Lviv based on DOU rating.
Contact person
Maria Stakhiv
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Viktoria Kliushtalinkedin
Viktoria Kliushta
Team Lead of Recruitment