Data Engineer

Jobtailor; Le Plessis-Robinson; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Jobtailor is seeking a skilled Data Engineer to design, build, and maintain robust data infrastructures in a dynamic French environment. The role focuses on creating reliable ETL/ELT pipelines, ensuring data quality and performance across cloud data platforms.

You will collaborate with Data Scientists, Data Analysts, and IT teams while embracing CI/CD and MLOps practices to industrialize data solutions.

Qualifications

• Master's degree in Data/AI/Math or related field.
• Excellent command of SQL.
• Proficient in Python (or Scala/Java).
• Knowledge of Spark, Kafka and Hadoop.
• Experience with AWS cloud environments.
• Relational and NoSQL databases knowledge.
• API development and data source integration.
• Familiarity with Git, CI/CD and Airflow or equivalent.

Responsabilités

• Design, build, and maintain data infrastructures.
• Ensure data quality, availability, and performance.
• Develop ETL/ELT pipelines.
• Clean, structure, and validate data.
• Industrialize data solutions (CI/CD, MLOps).
• Collaborate with Data Scientists, Data Analysts, and IT teams.
• Propose data solutions tailored to specific use cases.

Formation

Master's degree in Data/AI/Mathematics or related field

Outils

Spark

Kafka

Hadoop

Airflow

CI/CD

Git

AWS

Description du poste

Responsibilities

• Design, build, and maintain data infrastructures
• Ensure data quality, availability, and performance
• Develop ETL/ELT pipelines
• Clean, structure, and validate data
• Industrialize data solutions (CI/CD, MLOps)
• Collaborate with Data Scientists, Data Analysts, and IT teams
• Propose data solutions tailored to specific use cases

Requirements

• Master's degree (Bac+5) in Data, AI, Mathematics, or a related field
• Excellent command of SQL
• Proficient in Python (or Scala/Java)
• Knowledge of Big Data technologies (Spark, Kafka, Hadoop)
• Experience with cloud environments, especially AWS
• Proficiency with relational and NoSQL databases
• API development and integration of data sources
• Familiarity with DevOps/DataOps tools (Git, CI/CD, Airflow or equivalent)