Apply📍 Poland
🧭 Full-Time
🔍 Software Development
- 4+ years of experience in Data Engineering.
- 4+ years of experience with Python.
- Experience in developing, maintaining, and ensuring the reliability, scalability, fault tolerance, and observability of data pipelines in a production environment.
- Strong knowledge of SDLC and solid software engineering practices.
- Knowledge and experience with Amazon Web Services (AWS) and Databricks (nice to have).
- Familiar with infrastructure-as-code approach.
- Have fundamental knowledge of data engineering techniques: ETL/ELT, batch and streaming, DWH, Data Lakes, distributed processing.
- Building and optimizing data pipelines (batch and streaming).
- Extracting, analyzing and modeling rich and diverse datasets of structured and unstructured data
- Designing software that is easily testable and maintainable.
- Support in setting data strategies and our vision.
- Keep track of emerging technologies and trends in the Data Engineering world, incorporating modern tooling and best practices at Craft.
- Work on extendable data processing systems that allows to add and scale pipelines.
- Applying machine learning techniques such as anomaly detection, clustering, regression classification, and summarization to extract value from our data sets.
AWSDockerPostgreSQLPythonSQLETLMachine LearningAirflowAmazon Web ServicesData engineeringPandasCI/CDTerraformData modelingSoftware Engineering
Posted 2 months ago
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