Senior Big Data Engineer - Spark, Lakehouse & Cloud

Odaseva

Paris

Híbrido

EUR 70 000 - 120 000

Tempo integral

14 dias+

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Hybrid work model
Paris office

Resumo da oferta

Odaseva, a Paris-based SaaS company delivering secure data management for Salesforce environments, is seeking a senior data engineer. You will design, build, and optimize scalable data pipelines for large-scale data lake ingestion, leveraging Spark, Databricks, Snowflake and AWS.

You’ll contribute to a lakehouse architecture with Delta Lake or Iceberg, focusing on security-by-design and cost optimization. Based in Paris with a 3/2 hybrid schedule, the role is full-time permanent and demands

Qualificações

  • 7+ years of experience in data engineering or backend data platforms with at least 3 years hands-on building and operating big data pipelines.
  • Proven track record handling large volumes of data (hundreds of TB).
  • Deep knowledge of at least one data lake platform (Databricks, Snowflake, or AWS Redshift).
  • Strong Spark, lakehouse table formats (Delta Lake or Iceberg), Python/Java, SQL, and cloud infra (AWS S3, Athena, Glue).
  • Knowledge of cost management, data security, governance, and data modeling.
  • Equivalent engineering degree or Master’s in CS/Data Science/Applied Math.
  • Fluent in English and French with strong communication and collaboration skills.

Responsabilidades

  • Design, build, handle, and monitor Spark data pipelines for large-volume data lake ingestion (hundreds of TB).
  • Continuously optimize performance, reliability, and costs of big data pipelines and infrastructure.
  • Leverage Databricks, Snowflake, and AWS services for scalable data engineering.
  • Demonstrate expertise in Delta Lake or Apache Iceberg lakehouse tables.
  • Apply security-by-design, governance, and compliance across storage, compute, and sharing layers.

Conhecimentos

Spark
Python
SQL
Cloud (AWS)
Data lake platforms
Lakehouse concepts
Cost optimization
Security & governance
English/French communication

Formação académica

Master’s degree in CS/Data Science/Applied Mathematics

Ferramentas

Databricks
Snowflake
AWS Redshift
AWS S3
AWS Glue
AWS Athena
Delta Lake
Apache Iceberg

Descrição da oferta de emprego

Odaseva, a Paris-based SaaS company delivering secure data management for Salesforce environments, is seeking a senior data engineer. You will design, build, and optimize scalable data pipelines for large-scale data lake ingestion, leveraging Spark, Databricks, Snowflake and AWS.

You’ll contribute to a lakehouse architecture with Delta Lake or Iceberg, focusing on security-by-design and cost optimization. Based in Paris with a 3/2 hybrid schedule, the role is full-time permanent and demands

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