ETL / Data Engineer - Remote/ Wrocław @ Sofomo

23 hours ago


Remote Wroclaw Wrocław Kraków Łódź Katowice Warszawa, Czech Republic Sofomo Full time

Must have

  • 2y+ of commercial experience in data engineering
  • ETL
  • SQL
  • Python

Nice to have

  • Redshift
  • AWS

We have an exciting opportunity for an ETL / Data Engineer who is passionate about building data engineering systems. This is a key role where you will join a small Sofomo team working for one of our clients. You will help design, build and execute a new data engineering system that connects to multiple third party data points. The new data engineering system will work mainly with Redshift and custom data importers. Over time you will have an opportunity to build custom data engineering solutions.

At least basic AWS experience is required. Experience in using Redshift would be an additional plus.

Also, you will need to have previous data warehouse, ETL and other data engineering experiences.

We are looking for someone with at least 2 years of experience in data engineering.

Your technical experience and technical skill set are the most important. However, we will also choose based on your personality, attitude and desire to grow your skills.

Why Sofomo?

By joining Sofomo, you will have a chance to work with experienced developers and experts across multiple technologies. You will have unique opportunities to grow your skills and learn something new every day. You won’t just be a task taker. You will design advanced solutions, make technical decisions, choose specific technologies and more.


,[Solution Design - You won’t be just taking tasks. This job involves actual design, architecting and implementation of ETL and data engineering systems., Ownership - You will have ownership over your development from design to launch., Data Engineering - Design and implementation of a robust data engineering system built from the ground up with custom data pipelines in the cloud., Data Engineering - Development of custom data engineering solutions., Data Engineering - Data model design, design patterns, creating reports, scripting, Agile Approach - You will work collaboratively with other team members in an agile, Scrum way., Learning - You will learn new technologies, frameworks, etc. every day.] Requirements: ETL, SQL, Data engineering, Python, Redshift, AWS Tools: Jira, Confluence, GitHub, GIT, Agile, Scrum. Additionally: Sport subscription, Private healthcare, Training budget, Flat structure, Small teams, International projects, Free coffee, Bike parking, Playroom, Shower, Free snacks, Free beverages, Free lunch, Mobile phone, Modern office, Startup atmosphere, No dress code, Free breakfast, In-house trainings.

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