Company DescriptionSoftware Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means were always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.Job DescriptionProject the aim youll haveThe project focuses on transitioning from a legacy data warehouse to a modern cloud-based data lake architecture for a major telecommunications provider. A key component of the initiative is the modernization and adaptation of an existing campaign management system responsible for delivering targeted marketing communications (e.g. email and SMS) to customers. The work involves redesigning data flows, integrating campaign logic with the new data lake ecosystem, and ensuring scalable, real-time access to customer segmentation and analytics.Position How Youll ContributeYour role will focus on building a pure backend environment (no frontend work) within a distributed, microservices-based architecture:Designing, developing, testing, and deploying backend services in PythonBuilding and maintaining microservices-based systemsProcessing and integrating data from queueing/streaming systems (Kafka)Designing and managing data flows using Apache NiFiDeveloping ETL pipelines with AWS Glue, Azure Data Factory, or similar toolsImplementing scalable data processing workflowsImproving and optimizing existing backend servicesTranslating business requirements into robust technical solutionsCollaborating with architects, DevOps engineers, and data engineering teamsSupporting infrastructure and platform integration initiativesQualificationsExpectations the experience you needMinimum 5 years of commercial backend experience with PythonPractical experience with microservices architectureExperience working with data streaming or queueing systems (Kafka/ ActiveMQ Artemis preferred)Knowledge of data processing and ETL workflowsTesting experience (PyTest, Cucumber/Behave)Hands-on experience with containersKubernetes and Helm familiarityCI/CD pipelines (e.g., GitLab)Additional Skills The Edge You HaveExperience with Apache NiFiFamiliarity with cloud ETL platforms (AWS Glue, Azure Data Factory, or similar)Understanding of distributed data processing patternsAdditional InformationOur Offer Professional Development, Personal GrowthFlexible employment and remote work International projects with leading global clients International business trips Non-corporate atmosphere Language classes Internal & external training Private healthcare and insurance Multisport card Well-being initiatives