4-5 years professional experience in data engineering
Strong proficiency in java scala or python
Extensive experience with apache spark flink hive trino
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Teads is seeking a Data Engineer for its Core Data Platform Team in Montpellier, France. This role involves designing and maintaining scalable data pipelines and collaborating with cross-functional teams to enhance data infrastructure, leveraging technologies such as Apache Spark and cloud services like GCP or AWS.
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Job Summary
You will be responsible for designing, building, and maintaining robust and scalable data pipelines to support billions of daily ad impressions.
The role requires managing cloud infrastructure on Google Cloud Platform or Amazon Web Services to ensure high availability and low latency.
You will collaborate with cross-functional teams including data scientists and analysts to deliver next-generation ad tech solutions.
Matching Summary
Match Score: 75
**
Teads is seeking a Data Engineer for its Core Data Platform Team in Montpellier, France. This role involves designing and maintaining scalable data pipelines and collaborating with cross-functional teams to enhance data infrastructure, leveraging technologies such as Apache Spark and cloud services like GCP or AWS.
**
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 data streaming Kafka
Deep understanding of data warehouse and data lake concepts
Knowledge of Terraform for Infrastructure as Code
Nice-to-have
Familiarity with Apache Iceberg or Delta Lake
Solid understanding of SQL and NoSQL databases
Experience with pipeline orchestration tools like Airflow
Ability to work collaboratively within a team
Active listening and dialogue facilitation skills
Key Requirements
4-5 years of professional experience in data engineering
Proficiency in Java, Scala, or Python
Experience with distributed big-data processing frameworks
Cloud infrastructure management skills on GCP or AWS
Knowledge of Medallion Architecture best practices