field (or equivalent experience) 3-5 years of experience in data engineering (healthcare/medical devices preferred but not required) Strong Python programming and data engineering skills (Pandas, PySpark, Dask) Proficiency with databases (SQL/NoSQL), ETL processes, and modern data frameworks (Apache Spark, Airflow, Kafka) Solid experience with cloud platforms (AWS, GCP, or Azure) and CI/CD for More ❯
to Natural Gas and Power markets, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in cloud platforms (preferably Azure) and services such as Data Lake More ❯
excellent collaboration skills. Grit in the face of technical obstacles. Nice to have: Building SDKs or client libraries to support API consumption. Knowledge of distributed data processing frameworks (Spark, Dask). Understanding of GPU orchestration and optimization in Kubernetes. Familiarity with MLOps and ML model lifecycle pipelines. Experience with AI model training and fine-tuning. Familiarity with event-driven architecture More ❯
