Data Engineer
Fetcherr experts in deep learning, algo-trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.
We're seeking for a Data Engineer to help us grow our data science team's capabilities. The ideal candidate is a data developer with relevant experience who is self-driven, motivated, independent, and sharp.
You will take an active part in all development phases, including research, design, development, testing and deployment using technologies like Python, Docker, Airflow, Kubernetes and more.
Must Have:
- At least 4 years of experience with the following programming languages: Python, Scala and/or Java - any combination of the above is acceptable
- At least 3 years of experience with SQL
- 2+ years hands-on data engineering experience
- Good understanding and knowledge of Data
- Structures and Algorithms, like: Data Structures: Lists, Stacks, Queues, Tree, Maps/Dictionaries, Graphs. Algorithms: Sorting, Searching, Shortest Path, Recursion, Hashing
- 2+ years of experience in cloud computing (any of Azure, AWS or GCP)
- Experience with pandas or similar
- English – fluent, both written and spoken
Nice to have:
- BSc or MSc in Computer Science / Statistics / Math / Engineering
- 2+ years of experience with Google Cloud
- Platform (especially with BigQuery)
- Experience with ClickHouse
- Experience with CI/CD (like Gitlab or Github)
- Experience with containerization technologies
- (Kubernetes, Docker)
- Knowledge of: Apache Airflow & Apache Beam
0 applies
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