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Data Engineer (H/F) - Paris

AvisiaParis, Île-de-France, France
On-site Full-time

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Experience Level

Experience

Qualifications

Human Element:We are looking for talents who:Possess excellent interpersonal skills to bridge the gap between business needs and IT constraints,Are eager to build scalable and robust infrastructures,Exhibit a rigorous analytical mindset,Value code quality (CI/CD, unit testing) and technical documentation (Confluence/Jira),Are curious about new trends (DataOps, generative AI applied to code),

About the job

About Our Missions:

At Avisia, we engage with our clients on 100% data-focused projects that integrate both technical and strategic dimensions, where data drives operational performance. As a Data Engineer, you will be the architect who makes data actionable. Depending on your profile, you will contribute to building robust data platforms (Data Lakehouse) or the industrialization of complex flows intended for AI.

Our clients, spanning luxury, retail, telecommunications, and banking sectors, are facing an explosion in the volume and variety of data. Your role will be to ensure the fluidity, quality, and security of these data flows.


Current Projects Include:

  • Migrating on-premise legacy systems to a Cloud Lakehouse architecture (Snowflake/Databricks). #CloudMigration

  • Industrializing complex pipelines on GCP (BigQuery, Dataform) with a strong observability culture (Dynatrace) and CI/CD practices. #Orchestration

  • Deploying applications, APIs, and AI services (ML prediction algorithms, chatbots, etc.) #MLOps

  • Auditing and redesigning ingestion pipelines to reduce computing and storage costs on GCP or AWS. #Performance

  • Developing Kafka components, exposing them via APIs, and ensuring the performance of real-time flows on an international scale. #Streaming


About Avisia

Avisia specializes in data-driven solutions across various industries, helping clients harness the power of data to enhance operational performance. Our commitment to innovation and excellence positions us as a trusted partner in navigating the complexities of today's data landscape.

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