Cloud & Data Engineer, Instore Sensorics and Data

New

dmTECHRetail technology

100% współpraca zdalnaContractSenior

Salary170 - 210 PLN per hour

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Job Details

Languages: Swobodna komunikacja w językach polskim oraz angielskim lub niemieckim - na poziomie minimum B2
Experience: Minimum 3 lata doświadczenia komercyjnego lub projektowego w Software Engineering albo Data Engineering
Required Skills: AWSGraphQLPythonGitCI/CDRESTful APIs

Have a completed degree in computer science, applied computer science, a STEM field, technology, or engineering, or comparable technical qualifications.
Have at least 3 years of commercial or project experience in Software Engineering or Data Engineering.
Have documented experience independently implementing solutions.
Have practical experience creating and maintaining cloud solutions with GCP or AWS; GCP is preferred.
Have experience with data products and Data Mesh principles.
Understand how to build scalable, reusable data services.
Have very good Python skills.
Be comfortable using Git, CI/CD, testing, and Code Review.
Communicate in Polish and in English or German at a minimum B2 level.
Infrastructure-as-Code, such as Terraform/OpenTofu, and data streaming technologies such as Kafka are additional advantages.
Experience with Big Data, analytics technologies, data modeling, data-product security, AI/genAI integrations, REST/GraphQL APIs, backend services, frontend frameworks, or ML libraries is an advantage.

Develop and maintain cloud services and data platforms, preferably on Google Cloud Platform.
Support the development of data products using Data Mesh principles.
Design and implement backend services and REST/GraphQL interfaces for system integration.
Automate deployments and infrastructure using Infrastructure-as-Code.
Help build stable, repeatable pipelines.
Integrate AI/genAI services, such as LLM APIs, with data-based applications when needed.
Maintain code and data quality through testing, Code Review, monitoring, and Continuous Integration.
Collaborate with a cross-functional project team and business areas.

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