Data Mesh Junior Software Engineer

Role Overview: You will be responsible for designing, developing, and maintaining Python backend services and APIs. You will integrate and manage AWS services such as S3, Glue, Lambda, IAM, and others. Additionally, you will be developing and maintaining data connectors for Snowflake, Azure, and SAP. Your focus will be on writing clean, maintainable, and well-tested code with solid unit and functional test coverage. Collaboration with the frontend team to design clear and robust API contracts, participation in code reviews, architecture discussions, and sprint planning, as well as working closely with QA to ensure high-quality releases are essential aspects of this role. Key Responsibilities: - Design, develop, and maintain Python backend services and APIs - Integrate and manage AWS services such as S3, Glue, Lambda, IAM, and others - Develop and maintain data connectors for Snowflake, Azure, and SAP - Write clean, maintainable, and well-tested code with solid unit and functional test coverage - Collaborate with the frontend team to design clear, robust API contracts - Participate in code reviews, architecture discussions, and sprint planning - Work closely with QA to ensure high-quality releases Qualification Required: - Strong Python development experience, ideally with a cloud-first design - Solid understanding of AWS services, especially S3, Glue, Lambda, IAM - Experience designing and consuming REST APIs - Proficiency in writing and maintaining tests as part of standard development practice - Familiarity with CI/CD pipelines and version control (Git) - Experience integrating with Snowflake, Azure, or SAP systems - Experience with Infrastructure as Code tools such as Terraform for managing AWS resources - Commitment to writing well-tested, maintainable code, with unit and integration testing - Strong communication skills and a collaborative, security-first mindset - Detail-oriented mindset - Strong problem-solving skills - Ability to work often in CET time zone - Outstanding Analytical and Communication Skills Additional Details: The company values technical skills in Python, ideally in a cloud-native, serverless context, and expertise in working with REST APIs and AWS services such as S3, Glue, Lambda, IAM. It is considered good to have skills in Terraform, Snowflake, Azure, and SAP integrations. Role Overview: You will be responsible for designing, developing, and maintaining Python backend services and APIs. You will integrate and manage AWS services such as S3, Glue, Lambda, IAM, and others. Additionally, you will be developing and maintaining data connectors for Snowflake, Azure, and SAP. Your focus will be on writing clean, maintainable, and well-tested code with solid unit and functional test coverage. Collaboration with the frontend team to design clear and robust API contracts, participation in code reviews, architecture discussions, and sprint planning, as well as working closely with QA to ensure high-quality releases are essential aspects of this role. Key Responsibilities: - Design, develop, and maintain Python backend services and APIs - Integrate and manage AWS services such as S3, Glue, Lambda, IAM, and others - Develop and maintain data connectors for Snowflake, Azure, and SAP - Write clean, maintainable, and well-tested code with solid unit and functional test coverage - Collaborate with the frontend team to design clear, robust API contracts - Participate in code reviews, architecture discussions, and sprint planning - Work closely with QA to ensure high-quality releases Qualification Required: - Strong Python development experience, ideally with a cloud-first design - Solid understanding of AWS services, especially S3, Glue, Lambda, IAM - Experience designing and consuming REST APIs - Proficiency in writing and maintaining tests as part of standard development practice - Familiarity with CI/CD pipelines and version control (Git) - Experience integrating with Snowflake, Azure, or SAP systems - Experience with Infrastructure as Code tools such as Terraform for managing AWS resources - Commitment to writing well-tested, maintainable code, with unit and integration testing - Strong communication skills and a collaborative, security-first mindset - Detail-oriented mindset - Strong problem-solving skills - Ability to work often in CET time zone - Outstanding Analytical and Communication Skills Additional Details: The company values technical skills in Python, ideally in a cloud-native, serverless context, and expertise in working with REST APIs and AWS services such as S3, Glue, Lambda, IAM. It is considered good to have skills in Terraform, Snowflake, Azure, and SAP integrations.