Data Engineer
Who is Tatum? A bunch of people developing a platform that makes it easier and more accessible for developers to work with blockchain. We are currently looking for a new member of our Tatum squad who will focus on data - a skilled Data Engineer to join our engineering team. We are looking for someone who knows what they want and is able to challenge others.
In this position, what will you be doing with data? You will collaborate with others and identify what we need and design, roll out and manage the data structure accordingly. You are the owner of the data in the warehouse ( Big Query ).
It definitely requires ownership and good ability to ask the right questions.
You will work closely with our product guys, engineering teams, as well as other business stakeholders, to address various data-related scenarios. Your main objective will be to guarantee the availability, reliability, and integrity of our data, ensuring that the data we analyze is precise and dependable.
Previous knowledge of blockchain is not needed; we expect to train you in this area. We are just looking for a team member willing to learn new things.
What you will do?
- Design, build, and maintain scalable data pipelines and workflows to ingest, transform, and store data from various sources.
- Implement data quality and validation checks to ensure the accuracy and consistency of our data.
- Collaborate with cross-functional teams to identify and address data infrastructure needs.
- Optimize data storage and retrieval performance.
- Monitor and troubleshoot data pipeline and infrastructure issues.
- Stay up-to-date with the latest technologies and trends in data engineering and recommend best practices.
You have a pretty good chance if you have:
- 2+ years of professional experience as a Data Engineer or a similar role
- Knowledge of SQL and NoSQL databases (pref. MongoDB, BigQuery)
- Strong Python essentials
- Experience with some workflow orchestration tool ( Argo Workflow )
- Advantage: user experience with Kubernetes ( Terraform )
- Familiarity with cloud platforms, such as GCP
- Specifically experience with Data Integration tools such as Big Query.
- Understanding of data modeling and data warehousing concepts
- Actively experimenting with AI-augmented data engineering
- Understand strategic and tactical SaaS business metrics, definitions, calculations
- Excellent problem-solving, independence and communication skills
- Ability to work in a fast-paced and collaborative startup environment
Why Join Us?
- A dynamic team where problem-solving, communication, and learning are valued over rigid tool experience.
- A chance to work on cutting-edge blockchain technologies with a supportive, growth-oriented culture.
- A startup-minded environment where your ideas and contributions matter.
- Standard benefits as 25 vacation days, flexible working, ESOP, budget for learning and others.
