Data Engineer (big Data) - Core Data Platform Team

Teads

Montpellier, France
On-site
4-5 years professional experience in data engineering
Strong proficiency in java scala or python
Extensive experience with apache spark flink hive trino
You will design, build, and maintain robust and scalable data pipelines using Apache Spark to process large-scale datasets

Job Summary

  • You will design, build, and maintain robust and scalable data pipelines using Apache Spark to process large-scale datasets.
  • The role involves managing cloud infrastructure on Google Cloud Platform or Amazon Web Services to support billions of daily ad impressions.
  • You will collaborate with cross-functional teams to enhance data warehouse and data lake capabilities for next-generation ad tech solutions.

Matching Summary

You will design, build, and maintain robust and scalable data pipelines using Apache Spark to process large-scale datasets.

Skills & Requirements

Must-have

  • 4-5 years professional experience in data engineering
  • Strong proficiency in Java Scala or Python
  • Extensive experience with Apache Spark Flink Hive Trino
  • Proven experience with GCP or AWS cloud services
  • Experience with real-time streaming technologies like Kafka
  • Deep understanding of data warehouse and data lake concepts
  • Solid understanding of Terraform IaC

Nice-to-have

  • Knowledge of Apache Iceberg or Delta Lake
  • Familiarity with SQL and NoSQL databases
  • Experience with pipeline orchestration tools like Airflow
  • Good communication skills and ability to work collaboratively
  • Active listener and dialogue facilitator

Key Requirements

  • 4-5 years of professional experience in a data engineering role
  • Strong proficiency in Java, Scala, or Python
  • Experience with distributed big-data processing frameworks
  • Cloud-based data services experience on GCP or AWS
  • Understanding of Medallion Architecture (Bronze, Silver, Gold layers)

Work Rights

Not specified

Tailored Resume

Cover Letter