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SKIILS recherche un Data Engineer BigQuery/dbt pour concevoir et optimiser des pipelines de données sur GCP. Vous participerez à la modélisation et à l’industrialisation des transformations, en travaillant sur des…
Data Engineer (m/f) joining SKIILS's 'Data Factorii' guild to design large-scale data platforms on Google Cloud: building ELT/ETL pipelines, modeling and transforming data with dbt on BigQuery, orchestrating with Airflow/Cloud Composer, integrating Kafka/Pub/Sub streaming, and automating deployments via Git/GitLab CI.
Data Engineer building and evolving data platforms and robust pipelines with Python, Django, Spark and Databricks on AWS/Azure, including CI/CD industrialization. Partial remote role in France with health insurance and transport benefits.
Data engineer designing and evolving data platforms and big data pipelines using Python/Django, Apache Spark and Databricks on AWS/Azure, plus ingestion APIs, Kubernetes (EKS) deployments and CI/CD automation. Targets candidates with 4–8 years of data engineering experience; based in Suresnes with partial remote work.
Data Engineer (hiring entity mentioned: Data Factorii) in Suresnes, France, designing and evolving data platforms and robust pipelines: building Python/Django APIs and ingestion services, working with Spark and Databricks on AWS/Azure, plus Kubernetes administration and CI/CD industrialization. Requires 4-8 years of experience with strong Python and SQL.
Data Engineer building and maintaining real-time streaming platforms using Java, Kafka Streams, and event-driven architectures, with ETL/ELT pipelines orchestrated via Apache Airflow.
The Data Engineer will design and develop streaming data processing and event-driven architectures using Java, Scala, Kafka Streams, and Spark. The role involves building services and APIs with Spring Boot and managing data pipelines via Airflow.
Build and industrialize data pipelines, design business models, and ensure data quality for an international team.
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