... of 200 Poland-based data and AI specialists – including architects, engineers, data scientists, and analysts. We collaborate with tech partners ... to process my personal data included in my job offer ... that it is a data controller within the meaning of ...
... and maintaining architecture patterns for data processing, workflow definitions, and system ... Cloud technologies Developing of existing Data Platform and .NET applications (C ) ...
... will analyse structured and unstructured data, conduct text analytics, and provide ... a plus. Familiarity with big data tools (Hadoop, Hive, Kafka) and data engineering concepts. Proficiency in database ...
... Proficient in working with big data technologies (e.g., Hadoop, Spark ... working with Kubernetes and stream data processing frameworks frameworks (Flink, Apache ...
... are looking for Data Engineer with expertise in AWS ... RESPONSIBILITIES: Working with data in AWS environment. Designing and implementing ETL ELT workflows. Data management, data modeling, data versioning, and data quality management. REQUIREMENTS: 4 years ...
... zarządzaniu kapitałem i ryzykiem. Poszukujemy Data Engineera z doświadczeniem w środowisku ... min. 5 letnie doświadczenie jako Data Engineer lub w podobnej roli. ... poziom C1). Masz doświadczenie z data pipelines, projektowaniu i wdrażaniu skalowalnych ...
... stakeholders to ensure that the data platform can be built and ... the requirements for the new data platform under the guidance of ... : You are skilled in building Data Mesh and Data Fabric architectures. You are proficient ...
... . We are looking for: Senior Data Science Business Consultant Your future ... : Professional experience delivering and implementing data and AI solutions, Analytical skills ... Tableau and ETL, ELT and data querying (e.g. SQL), Strong ...
... seen and heard. In the Data & AI area, we make all decisions based on data. We build and develop ML ... promote best practices within the data community Knowledge and ability to ...
... Design and implement data pipelines using Spark and GCP cloud-based data stack technologies Maintain data quality and ensure governance across data processes Manage Infrastructure as Code ... CD workflows for data pipelines Collaborating with business partners ...