Hybrid Data Engineer

Posted last week

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About the role

  • Data Engineer optimizing data pipelines at Amoddex, which specializes in digital transformation consulting. Collaborating with teams on projects related to data sourcing and DevOps methodologies.

Responsibilities

  • Define architectural standards and contribute to key technology decisions
  • Implement, industrialize and optimize batch and streaming data pipelines (ETL/ELT)
  • Ensure the performance, resilience, availability and security of Data platforms
  • Implement environment management strategies (dev, test, prod) and automated deployment
  • Maintain technical governance of data flows (traceability, lineage, dependency management)
  • Audit and improve existing processes to increase robustness and maintainability
  • Integrate software quality best practices: automated testing, CI/CD, monitoring, observability
  • Anticipate volume, scalability and cloud cost optimization challenges
  • Collaborate with Data Science, ML, Product and Business teams to align solutions with real use cases
  • Contribute to the technical roadmap and prioritize major initiatives
  • Document architectures and ensure knowledge transfer to strengthen team autonomy.

Requirements

  • Strong experience with cloud environments: AWS and/or Azure and/or Google Cloud Platform
  • Good knowledge of Data platforms: Snowflake, Databricks, BigQuery
  • Experience with Big Data technologies: Spark, PySpark, Kafka
  • Proficient in languages: Python and SQL; familiarity with Java is a plus
  • Knowledge of orchestration tools such as Airflow
  • Experience with CI/CD environments, Git and monitoring tools
  • Experience in distributed architectures and handling large volumes of data

Benefits

  • Training opportunities provided to employees
  • Friendly working environment
  • Close-knit team

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

€40,000 - €65,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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