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Audit, refactor, and stabilize a legacy data warehouse while building ETL pipelines; collaborate with finance teams to translate reporting needs into technical specs using SQL and DWH best practices.
Designs and maintains large-scale data pipelines using Spark, Hadoop, and cloud platforms to support business analytics and reporting.
Build and maintain scalable data pipelines, integrate data into a cloud-based data lake, and collaborate with data scientists to enable predictive modeling using Python, Spark/Databricks, and SQL.
Senior Data Engineer builds and maintains dbt-based data pipelines and models to ensure reliable, high-quality data flows for client projects.
Design and build efficient data pipelines using BigQuery and Dataflow for a digital transformation consultancy, collaborating with client teams to meet data needs.
Senior Data Engineer to audit and optimize Airflow workflows, collaborating with non-IT teams using Python and strong communication skills.
Builds and maintains ELT pipelines (Talend/SEMARCHY) and analytical data marts for clients, focusing on SQL and HP Vertica.
Build and maintain data pipelines, ETL workflows, and BI dashboards using Python, SQL, Talend, and Power BI to support client projects in Dijon.
Build and maintain modern data platforms using Snowflake and Databricks, enabling AI-driven customer insights and marketing analytics.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform, optimize BigQuery warehouses, and automate data workflows with Python, SQL, and Terraform for real-time analytics and business insights.
Build and maintain a cloud-scale data lake and ETL pipelines on AWS for a major bank’s AI and analytics platform using PySpark and Java.
Build and maintain Spark-based data pipelines in Java, migrate legacy SQL/PL-SQL workloads to modern cloud Big Data stacks, and help industrialize Databricks deployments.
Designs and builds modern data platforms, migrating systems to Snowflake and implementing ELT pipelines with SQL and data modeling.
Design and build scalable big-data pipelines for clients, using Hadoop/Spark, cloud data services, and orchestration tools like Airflow to store, transform, and expose data.
Build and maintain ETL/ELT pipelines in Talend and BODS, design BI models in Power BI/BO, and deliver dashboards for an industrial company’s decision-support team.
Build and architect modern data platforms using Snowflake and Databricks to support analytics and data-driven decisions.
Build and maintain the data infrastructure that feeds AI imaging models, collaborating with scientists to train and deploy computer-vision systems for satellite and video data.
Designs and maintains cloud data pipelines and analytics platforms for clients in luxury, retail, healthcare, and media, ensuring robust orchestration, security, and observability.
Build and maintain Decathlon’s global data platform, designing scalable pipelines and modern data stacks (Databricks, Airflow, Spark) to power analytics and AI across the company.
Junior Data Engineer building and modeling a data warehouse from scratch at a European startup, automating pipelines to support business decisions and KPIs.
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