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Senior Data Engineer building Datamarts and ensuring data quality for an insurance-focused client using SQL, Hadoop, and Agile methods.
Senior Data Engineer builds and maintains scalable Databricks pipelines using Spark, Hadoop, and cloud platforms, collaborating with Data Science and engineering teams.
Designs and builds secure data pipelines for large datasets, focusing on ETL, cloud data warehousing, and security-cleared environments.
Build and optimize data pipelines for public-sector clients in Toulouse using Hadoop, Spark, Kafka, and Kubernetes.
Designs and builds scalable data pipelines, cloud data architectures, and ETL/ELT processes for AI and ML projects at major enterprise clients.
Design and maintain high-performance data pipelines and cloud architectures using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure) to deliver clean, secure data for analytics and AI teams.
Lead a team building and optimizing large-scale data pipelines using Spark/Scala, Hadoop, Kafka, and related Big Data tools for enterprise clients.
Build and maintain data pipelines for financial clients using ETL tools like Talend or Stambia, SQL, and cloud/Big Data tech.
Build and optimize data pipelines using Python, SQL, FastAPI, and Google Cloud tools, while experimenting with AI to enhance workflows and drive business impact.
Build and maintain data pipelines and advanced processing systems for banking clients using Python, Spark, and cloud platforms like AWS/GCP.
Build and maintain data pipelines, clean and model customer data, and deploy scalable BigData solutions on AWS/Azure for marketing analytics.
Leads the design and optimization of big-data pipelines and warehouses using Python, Spark, and cloud platforms to enable analytics-driven decisions.
Build and maintain scalable data pipelines on Databricks and Spark, ensuring clean, secure data flows for analytics and AI projects while collaborating with data science teams.
Senior Data Engineer builds and maintains scalable data pipelines on Databricks and Spark, ensuring robust data infrastructure for analytics and AI solutions in a consulting environment.
Design and build distributed data architectures (Hadoop) and ETL/ELT pipelines (Spark/Python/Scala) to ingest and process large datasets for analytics.
Build and maintain robust data pipelines, ensuring quality and integrity, while collaborating with clients to optimize their data infrastructure using tools like Spark, Kafka, and cloud services.
Build and maintain robust data pipelines and cloud infrastructure for enterprise clients, using Python/Java/Scala, SQL/NoSQL, Spark, Kafka, and AWS/Azure/GCP.
Build and maintain scalable, secure data pipelines and cloud architectures (AWS/GCP/Azure) to collect, transform, and deliver high-quality data for analytics and AI use cases.
Build and maintain data pipelines and ETL workflows using Python, Spark, and cloud tools to integrate and transform large datasets for enterprise clients.
Senior Data Engineer builds and maintains robust data pipelines, ensuring quality and integrity while collaborating with clients to optimize data infrastructure using tools like Spark, Kafka, and cloud services.
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