Senior GCP Data Engineer

December 21, 2024

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Xebia

Xebia is a leading Software Engineering and IT consultancy company that specializes in digital transformation, agile transformation, cloud solutions, data and AI, DevOps, SRE, and other IT services. It helps businesses across various industries to harness new technologies for sustainable growth and improved efficiency. With a global presence, Xebia partners with companies to provide high-quality consulting, training, and managed services. Known for being at the forefront of technological innovation, Xebia is recognized for its deep collaboration with platforms like GitHub and is committed to making AI integration in software development easier and more accessible. The company serves a wide range of sectors including finance, technology, healthcare, and manufacturing, aiming to create digital leaders and empower organizations to achieve their strategic goals through cutting-edge technology and people-centric approaches.

IT Consultancy β€’ Continuous Delivery β€’ Offshore Services β€’ Deployment Automation β€’ Digital Transformation

πŸ“‹ Description

β€’ Work closely with engineering, product, and data teams to deliver scalable and robust data solutions β€’ Design, build, and maintain data platforms and pipelines and mentor new engineers β€’ Deliver software systems and best practices for scalable and robust solutions β€’ Engineer data platforms for scale, performance, reliability, and security β€’ Integrate data sources and optimize data processing β€’ Proactively address challenges, resolve blockers, and drive effective communication across distributed teams β€’ Continuously seek opportunities to enhance data systems and ensure alignment with evolving business needs.

🎯 Requirements

β€’ available to start immediately β€’ 5+ years in a senior developer role with hands-on experience in building data processing pipelines β€’ proficiency with GCP services, especially BigQuery and BigQuery SQL, for large-scale data processing and optimization β€’ extensive experience with Apache Airflow, including DAG creation, triggers, and workflow optimization β€’ knowledge of data partitioning, batch configuration, and performance tuning for terabyte-scale processing β€’ strong Python proficiency, with expertise in modern data libraries and frameworks (e.g., Databricks, Snowflake, Spark, SQL) β€’ experience with unit testing, pre-commit checks, and strict type enforcement for data pipelines β€’ deep understanding of relational and NoSQL databases, data modelling, and data warehousing concepts β€’ excellent command of oral and written English β€’ Work from the European Union region and a work permit are required β€’ Nice to have: expertise in optimizing BigQuery performance using tools like Query Profiler and addressing a compute resource bottlenecks β€’ prior experience developing or testing custom operators in Apache Airflow β€’ familiarity with Docker, Kubernetes, Helm, Terraform, Kafka, and CI/CD pipelines for data environments.

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