Mistral AI · Paris · Hybrid

Data Engineer

10/8/2024

Description


We are seeking passionate and talented Data Engineers to join our team. Candidates with an Analytics Engineering background are also encouraged to apply.
In this role, you will have the unique opportunity to build, optimize, and maintain our data infrastructure. You will work with large volumes of data, enabling product teams to access secure and reliable data quickly. Your contributions will support our science team in enhancing the quality of our state-of-the-art AI models and help business users make informed decisions.
  • Design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure. Automate data quality checks and validation processes.
  • Collaborate with cross-functional teams to understand data needs and deliver high-quality, actionable solutions, eg work closely with machine learning teams to support model training, deployment pipelines, and feature stores.
  • Optimize data storage, retrieval, processing, and queries for performance, scalability, and cost-efficiency.
  • Define and enforce data governance, metadata management, and data lineage standards.
  • Ensure data integrity, security, and compliance with industry standards.

Qualifications

  • Master’s degree in Computer Science, Engineering, Statistics, or a related field.
  • 3+ years of experience in data engineering, analytics engineering, or a related role.
  • Proficiency in Python and SQL.
  • Experience with dbt.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Clickhouse).
  • Strong analytical and problem-solving skills, with attention to detail.
  • Ability to communicate complex data concepts to both technical and non-technical stakeholders.

Nice to have

  • Experience with machine learning pipelines, MLOps, and feature engineering.
  • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code (e.g., Terraform).

Application

View listing at origin and apply!

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