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Lead a team to design and maintain large-scale ETL pipelines and OLAP data architecture on AWS, using S3 data lakes, Athena, Airflow, and Python, while enforcing code quality and guiding senior developers.
Designs and builds scalable data pipelines and lakes for finance teams, transforming raw financial records into actionable insights using SQL, Python, and GCP.
Senior Data Engineer builds and optimizes scalable data pipelines and cloud-based warehouses (BigQuery) to power a global ecommerce delivery platform.
Build AI-powered finance apps using React, Node.js, and TypeScript, integrating data platforms and cloud services to deliver analytics and decision-making tools for finance teams.
Builds and maintains enterprise data warehouses and data lakes, designing ETL/ELT pipelines and backend integrations to ensure reliable data flow across systems.
Build and maintain Python REST APIs (FastAPI/Flask) and React/TypeScript frontends for a marketing analytics platform, validating data from ETL pipelines and ML models while using AI tools critically.
Builds Looker dashboards and SQL pipelines to turn business data into actionable insights for Valeo’s AI team in Créteil.
Build and maintain Carrefour’s GCP-based data platform, automating pipelines for BigQuery, Cloud Storage, and Qlik BI tools to support e-commerce analytics at scale.
Designs and deploys GCP data pipelines on BigQuery and Dataflow, automates infrastructure with Terraform, and maintains reliable environments using CI/CD and Kubernetes.
Design and build ML use cases and data pipelines on Google Cloud Platform using BigQuery and Python.
Build and optimize modern data analytics pipelines using dbt, Snowflake/BigQuery/Databricks, and BI tools to deliver clean, standardized datasets for reporting and analysis.
Build and maintain a scalable data platform using BigQuery, Cloud Composer, Python, and DBT to turn raw data into business insights.
Design, deploy and maintain GCP cloud infrastructure and data pipelines for Carrefour’s e-commerce data ecosystem using BigQuery, Dataform and Cloud Composer.
Designs and deploys robust GCP data solutions (BigQuery, Dataflow, Cloud Storage) with security, monitoring, and automation using Terraform and Python.
Build and deploy cloud data pipelines, model data, and integrate LLM components for clients in a consulting role.
Build and maintain data pipelines and cloud infrastructure for clients, focusing on Snowflake data warehousing, Data Clean Rooms, and cloud platforms like GCP, Azure, and AWS using Python, SQL, Docker, Terraform, and Airflow.
Build and deploy cloud data pipelines, model data, and integrate LLM components for enterprise clients while auditing cloud architectures and automating deployments.
Build and maintain robust data pipelines on GCP, write optimized SQL queries in BigQuery, and develop new KPIs to support retail analytics and transformation projects.
Designs, deploys, and secures Google Cloud data pipelines (BigQuery, Dataflow, Cloud Storage) using Terraform and Python, while automating CI/CD and cloud operations for enterprise clients.
Senior Data Engineer builds end-to-end data pipelines, modern data stacks, and analytics-ready warehouses for clients using SQL, Python, Airflow, dbt, and cloud DWHs like BigQuery or Snowflake.
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