Xebia Poland is a pioneering software engineering and IT consultancy company, specializing in providing transformative digital solutions across a variety of industries. They focus on digital strategy, agile transformation, cloud services, data and AI integration, DevOps, and intelligent automation. As an early adopter and global partner of GitHub, Xebia leverages cutting-edge technologies to drive digital transformation for their clients. With a strong emphasis on creating digital leaders, Xebia serves a global clientele, offering consulting, training, nearshoring, offshoring, and managed services. Their mission includes simplifying AI integration in software development, enhancing productivity, and advancing software engineering practices.
Software Development • Agile Development • DevOps • Scrum • Mobile Applications
February 22
Xebia Poland is a pioneering software engineering and IT consultancy company, specializing in providing transformative digital solutions across a variety of industries. They focus on digital strategy, agile transformation, cloud services, data and AI integration, DevOps, and intelligent automation. As an early adopter and global partner of GitHub, Xebia leverages cutting-edge technologies to drive digital transformation for their clients. With a strong emphasis on creating digital leaders, Xebia serves a global clientele, offering consulting, training, nearshoring, offshoring, and managed services. Their mission includes simplifying AI integration in software development, enhancing productivity, and advancing software engineering practices.
Software Development • Agile Development • DevOps • Scrum • Mobile Applications
• responsible for at-scale infrastructure design, build and deployment with a focus on distributed systems • building and maintaining architecture patterns for data processing, workflow definitions, and system to system integrations using Big Data and Cloud technologies • evaluating and translating technical design to workable technical solutions/code and technical specifications at par with industry standards • driving creation of re-usable artifacts • establishing scalable, efficient, automated processes for data analysis, data model development, validation, and implementation • working closely with analysts/data scientists to understand impact to the downstream data models • writing efficient and well-organized software to ship products in an iterative, continual release environment • contributing and promoting good software engineering practices across the team • communicating clearly and effectively to technical and non-technical audiences • defining data retention policies • monitoring performance and advising any necessary infrastructure changes
• ready to start within 4 weeks • 5+ years’ experience with data engineering • hands-on experience with dbt • Data Vault expertise • strong SQL skills • Python scripting proficiency • data manipulation libraries (such as Pandas, NumPy, PySpark) • experience in structuring and modelling data in both relational and non-relational forms • ability to elaborate and propose relational/non-relational approach • designing for transactional and analytical operations • working knowledge of Git • good verbal and written communication skills in English • Nice to have: Experience with GCP
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