Xebia is a pioneering Software Engineering and IT consultancy company that specializes in digital transformation, agile transformation, cloud computing, data and AI, DevOps, and intelligent automation. The company focuses on creating digital leaders by leveraging advanced technology and providing strategic solutions to diverse industries, including Banking, Healthcare, Retail, and more. With a global presence and a strong partnership with GitHub and Google Cloud, Xebia provides end-to-end services that empower organizations to maximize their technology potential and drive innovation.
IT Consultancy • Continuous Delivery • Offshore Services • Deployment Automation • Digital Transformation
February 22
Xebia is a pioneering Software Engineering and IT consultancy company that specializes in digital transformation, agile transformation, cloud computing, data and AI, DevOps, and intelligent automation. The company focuses on creating digital leaders by leveraging advanced technology and providing strategic solutions to diverse industries, including Banking, Healthcare, Retail, and more. With a global presence and a strong partnership with GitHub and Google Cloud, Xebia provides end-to-end services that empower organizations to maximize their technology potential and drive innovation.
IT Consultancy • Continuous Delivery • Offshore Services • Deployment Automation • Digital Transformation
• 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
• 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 • Working knowledge of Git • Good verbal and written communication skills in English • Nice to have: Experience with GCP
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