Data Engineer (AWS) @ Godel Technologies Europe
(práce v Polsku)

Data Engineer (AWS) @ Godel Technologies Europe

Polsko

• Strong understanding of data modeling, data warehousing, and ETL/ELT processes
• Solid programming skills in Python
• Familiarity with AWS services
• 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 of 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
• Excellent communication and teamwork skills

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 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!
 
As a Data Engineer, you will be part of a collaborative and agile environment where your ideas matter. You will design, build, and maintain scalable and efficient data pipelines and solutions that support data-driven decision-making. You’ll work closely with cross-functional teams including Data Scientists, Architects, and Software Engineers to create reliable, secure, and high-performing systems.
 
We expect candidates to be located in one of the following cities: Warsaw, Wroclaw, Lodz, Gdansk or Bialystok.

,[Design, 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>] Requirements: Python, AWS, CI/CD, Agile, Data modeling, ETL, SQL, Data pipelines Additionally: Sport subscription, Training budget, Private healthcare, Language classes, International team, Innovative projects, Certificates, Integration events, Flat structure, International projects, Free coffee, Bike parking, Playroom, In-house trainings, Modern office, No dress code, Free beverages.

Kategorie

data

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