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Godel Technologies Europe
Czym będziesz się zajmować? At Godel Technologies, we are passionate about building innovative software solutions that empower businesses around the world. We are growing and looking for a talented Data Engineer with strong Snowflake expertise to join our team. If you are interested in working with modern data technologies, solving complex problems, and making an impact — we want to hear from you!ResponsibilitiesDesign, develop, and optimize scalable data pipelines and ETL/ELT processes.Work with structured and unstructured data from various sources.Collaborate with Data Scientists, Software Engineers, and Business Analysts to meet data requirements.Implement data quality, data validation, and monitoring practices.Participate in architecture and design discussions to build cloud-native data platforms.Maintain and optimize data storage solutions (data lakes, data warehouses).Ensure the security, integrity, and availability of data.Support the deployment of machine learning models into production.Continuously improve performance, reliability, and scalability of our data systems.
Kogo poszukujemy? SkillsStrong understanding of data modeling (Data Vault), data warehousing, and ETL/ELT processes.Solid programming skills in Python.Strong knowledge of SQL and database optimization.Experience in building and maintaining data pipelines using modern orchestration tools.Ability to work with large volumes of data efficiently.Understanding best practices for data security and governance.Familiarity with Agile methodologies and working in cross-functional teams.Strong analytical thinking, problem-solving skills, and attention to detail are important.Excellent communication and teamwork skills.Tech StackMust have:Programming Languages: Python, SQLData Warehousing: Snowflake, RedshiftETL/Orchestration Tools: Apache Airflow, dbtCloud Platforms: AWS (S3, Lambda, Kinesis, Batch, DynamoDB, Athena, Glue, etc.)Version Control: Git Infrastructure as Code: TerraformNice to have:Data Processing: Spark (Databricks), KafkaDatabases: MS SQL (SSIS, SSAS), PostgreSQL, MySQL
Opublikowana | 2 miesiące temu |
Wygasa | około 5 godzin temu |
Tryb pracy | Pełny etat |
Źródło | ![]() |
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