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Data Engineer - at Kamino Retail - Full-remote (France)

Skills

big datadata pipelinesdata qualitydbtkubernetesrdbmssql

Description

Your mission

We are looking for a thoughtful, well-rounded Data Engineer to join our engineering team and help build the next generation of Retail Media monetization platform. You'll be a privileged interlocutor to our Product team supporting them and building the best architecture to streamline all of our data flows. You will join a team that includes a data scientist and frequently collaborate with a data analyst from our OPS team. We encourage anyone who is passionate about building scalable data architectures to apply.

What you'll do

  • Create and maintain optimal data pipeline architecture
  • Ensure reliability and scalability of our data infrastructure while participating in continuous improvement of our processes and tools
  • Implement and maintain data quality standards, monitoring, and alerting systems. Ensure data pipeline reliability and establish best practices for data consistency across our platform
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'Big Data' technologies
  • Work with stakeholders to assist with data-related technical issues and support data infrastructure needs

Who you are

  • You have 3+ years of experience as a Data Engineer designing, developing and optimizing strong and flexible data pipelines, architectures and data management strategies
  • You have a focus on high-volume data processing (in advertising, streaming, banking, etc)
  • You have working knowledge of message queuing, stream processing, and highly scalable 'Big Data' data stores
  • You have advanced SQL knowledge and experience working with relational databases as well as working familiarity with a variety of databases
  • You have a great ability to learn, and you are eager to expand your areas of expertise
  • You have a strong quality mindset and care for the overall performance of the product
  • Familiarity with Kubernetes and dbt preferred

Why Choose Us?

Shape the future of retail media with us!

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