Data Engineer - Data Team

Description

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.

Requirements

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
• 4+ years hands-on data engineering experience 
• Good understanding and knowledge of Data
• 2+ years of experience in cloud computing (any of Azure, AWS or GCP)
• Experience with workflow orchestration using Apache Airflow or comparable tools (e.g., Prefect, Dagster)
• Experience with large-scale data processing frameworks such as Apache Beam or Apache Spark
• English – fluent, both written and spoken
• Attention to detail, ability to work independently, communication skills

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 CI/CD (like Gitlab or Github)
• Experience with containerization technologies (Kubernetes, Docker)
• Experience in processing hundreds of terabytes of data using distributed pipelines
• Experience with pandas or similar
• Structures and Algorithms, like: Data Structures: Lists, Stacks, Queues, Tree, Maps/Dictionaries, Graphs. Algorithms: Sorting, Searching, Shortest Path, Recursion, Hashing