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GCP Data Engineer consultant designing, implementing, and optimizing data solutions and pipelines for client digital transformation projects, with a focus on the Google Cloud ecosystem.
Design and maintain batch and near-real-time data pipelines for payments and settlement, implementing data contracts, governance, and lakehouse solutions using SQL, Python, Databricks, and dbt for a pan-European digital wallet.
Senior Data Engineer builds and optimizes Spark-based data pipelines on Databricks, coaches the team, and advises clients on cloud and big-data tech stacks.
Senior Data Engineer on digital transformation projects at an international consulting firm, working primarily with GCP cloud tools and languages like Scala, Python, and SQL.
Senior Solution Architect / Data Engineer leading a team of junior Data Engineers, designing and evolving a data platform on AWS/Databricks, building robust ETL/ELT pipelines, and implementing monitoring with Power BI.
Data Engineer building and evolving data platforms, developing pipelines with Python/Spark/Databricks on AWS/Azure, and exposing data via Python/Django APIs in a hybrid setup.
Build and scale global advertiser budget systems using Flink, Kafka, Spark, Python, and .NET.
Data Engineer on Azure Databricks building and maintaining scalable data pipelines, leveraging Delta Lake, Spark SQL, and MLflow for large enterprise clients.
Data Engineer building and optimizing data pipelines on GCP and Snowflake using dbt, SQL, and Python, with orchestration via Airflow/Cloud Composer. Short-term interim contract (1 month), based in France.
Senior Data Engineer at an international consulting group, modeling data and integrating technical solutions using Snowflake, SQL, and ETL in an agile environment.
IoT Data Engineer designing and supervising real-time data pipelines using MQTT, Kafka, and time-series databases (InfluxDB/TimescaleDB) in a cloud environment.
Builds and optimizes data pipelines on Saagie using dbt and Python to process, transform, and automate data flows for analytics and business decisions.
Design and manage Azure Data Factory pipelines, ensure data quality, and integrate data flows for AI models in a cloud environment.
Data Engineer based in Papeete, French Polynesia, responsible for designing decisional data models (ODS, DW, datamarts), building ETL pipelines with Talend/Talaxie/Python/dbt, and creating PowerBI dashboards, while leveraging AI tools to enhance data and BI workflows.
Build IoT data pipelines using Python, Kafka, MQTT, time-series databases (InfluxDB, TimescaleDB), and cloud platforms at a French IT services firm.
Builds scalable data pipelines on GCP for a client, handling ingestion, transformation, and storage with dbt and Snowflake, orchestrated via Airflow. Works in an international team on robust, industrialized data workflows.
Data Engineer building and maintaining secure, reliable data pipelines for insurance/banking sector projects, using SQL/NoSQL databases, ETL tools, and DataOps principles.
Azure Cloud Engineer in Paris implementing, optimizing, and evolving cloud platforms using Azure, Terraform, Git, and Docker for client digital projects.
Administer, operate, and evolve Cloud platforms and internal infra using Linux, web servers (Apache/Nginx/Tomcat), MySQL/MariaDB, and automation with Terraform/Ansible, with occasional English-language client support.
Industrialize CI/CD pipelines (GitHub Actions, Jenkins, CloudBees), write admin scripts in Bash and Python, deploy remote embedded equipment, provide L1–L3 support, and supervise monetary/ticketing flows.
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