Data Engineer at Tatum focusing on scalable data solutions and blockchain technology. Collaborating with teams to ensure data integrity and manage data infrastructure in a hybrid setup.
Responsibilities
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.
Requirements
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
Benefits
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.
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