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Big Data Engineer on Snowflake responsible for data modeling, integration, pipeline development, and optimization in a consulting context using SQL, Python, and cloud platforms.
Design and build modern data pipelines and analytics platforms using Azure services like Data Factory, Synapse, and Datalake to integrate and model enterprise data for real-time insights.
Build and optimize data pipelines, modern data platforms, and real-time integrations using Talend and related tools while advising clients on data architecture and best practices.
Build and optimize Snowflake-based data pipelines and cloud databases for clients, focusing on SQL/ETL, modeling, and real-time data flows.
Build and optimize data pipelines, analyze business needs, and deliver visualizations using Dataiku, Python, and Spark to drive AI-driven solutions for clients in finance, healthcare, mobility, and climate sectors.
Leads a team to design, build, and document Databricks-based data pipelines using Scala, Python, and DevOps practices for enterprise clients.
Senior Data Engineer building scalable Databricks pipelines in Scala/Python, optimizing Spark workloads, and coaching teams on cloud data architectures for enterprise clients.
Build and optimize end-to-end data pipelines on Databricks and Spark, integrating real-time and batch data for analytics and AI use cases.
Build and maintain data pipelines in Dataiku, Python, and SQL to deliver business insights and support analytics projects for a French tech company.
Design and build Snowflake-based data pipelines and models for clients, using SQL/ETL and modern data-architecture best practices.
Build and optimize end-to-end data pipelines on Databricks and Spark, handling ingestion, modeling, storage, and exposure while mentoring peers and running DevOps practices.
Builds and maintains Snowflake-based cloud data pipelines and analytics solutions using SQL/ETL, modeling and integrating data for clients.
Build and maintain CI/CD pipelines and cloud infrastructure using IaC to automate software delivery and ensure system security.
Build and maintain CI/CD pipelines, automate cloud infrastructure, and mentor teams on DevOps best practices using Azure, AWS/GCP, Kubernetes, and Terraform.
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