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SENIOR DATA ENGINEER

Descripción de la oferta de empleo

About usFor more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 5500+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fueling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do.About the RoleAs a Senior Data Engineer at Xebia, you will work closely with engineering, product, and data teams to deliver our clients scalable and robust data solutions. Your key responsibilities will include designing, building, and maintaining data platforms and pipelines and mentoring new engineers.Responsibilities:Work with various clients globally, delivering software systems and best practices for scalable and robust solutions.Engineer data platforms for scale, performance, reliability, and security.Integrate data sources and optimize data processing.Proactively address challenges, resolve blockers, and drive effective communication across distributed teams.Continuously seek opportunities to enhance data systems and ensure alignment with evolving business needs.Onboard and mentor new engineers for clients and internal teams.Requirements:Basics:5+ years in a senior developer role, with hands-on experience in building data processing pipelines.Proficiency with GCP services, especially BigQuery and BigQuery SQL, for large-scale data processing and optimization.Extensive experience with Apache Airflow, including DAG creation, triggers, and workflow optimization.Knowledge of data partitioning, batch configuration, and performance tuning for terabyte-scale processing.Strong Python and/or Scala proficiency, with expertise in modern data libraries and frameworks (e.g., Databricks, Snowflake, Spark, SQL).Experience with unit testing, pre-commit checks, and strict type enforcement for data pipelines.Deep understanding of relational and NoSQL databases, data modelling, and data warehousing concepts.Excellent command of oral and written English.Recommended:Expertise in optimizing BigQuery performance using tools like Query Profiler and addressing compute resource bottlenecks.Prior experience developing or testing custom operators in Apache Airflow.Familiarity with Docker, Kubernetes, Helm, Terraform, Kafka, and CI/CD pipelines for data environments.
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Detalles de la oferta

Empresa
  • Xebia
Localidad
  • En toda España
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 21/12/2024
Fecha de expiración
  • 21/03/2025
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