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
April 6
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
• A Data Engineer's role involves crafting, constructing, and upholding the structure, tools, and procedures essential for an organization to gather, store, modify, and scrutinize extensive data amounts. • This position involves creating data platforms using typically provided infrastructure and establishing a clear path for Analytics Engineers who utilize the system. • You will be working alongside Platform Engineers to assess and choose suitable technologies and tools for the project, R&D, maintenance, and monitoring of the platform's components. • implementing intricate data intake procedures, constructing efficient data models, implementing and executing policies aligned to the strategic plans of the company concerning used technologies, work organization, etc. • ensuring compliance with industry standards and regulations in terms of security, data privacy applied in the data processing layer, providing training and fostering knowledge-sharing.
• 3+ years’ experience with GCP (BigQuery DWH platform) • 5+ years’ experience with data engineering or backend/fullstack software development • strong SQL skills • Python scripting proficiency • working with Spark messaging systems • knowledge of at least one orchestration and scheduling tool, for example, Airflow, Prefect, Dragster, etc. • familiarity with DevOps area and tools - GKE, Docker • ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement • Cloud (Azure, AWS, GCP) certification is a big plus • excellent verbal and written communication skills in English
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