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Senior Data Engineer specialized in Dataiku at a Paris-based consulting firm, working on client missions involving data needs analysis, data processing and visualization, POCs, and solution benchmarking using Dataiku, Python, SQL, Big Data tools, and cloud ML platforms.
A Senior Data Engineer/Data Analyst at an international consulting firm in Paris, working on technical data projects—analyzing business needs, defining data collection methods, and applying data processing techniques using Dataiku, Python, R, and DevOps tools.
Builds and optimizes data pipelines (ingestion, processing, storage, and exposure) using Databricks/Spark, collaborating with teams to solve technical challenges while ensuring scalability and maintainability.
Senior Data Engineer (Snowflake) at Keyrus France, a consulting firm. Day-to-day involves designing Cloud Data Platforms on AWS/Azure/GCP, implementing Snowflake architectures, building ETL/ELT pipelines, data modeling, and advising clients. Core tech: Snowflake, SQL, dbt/Talend/Informatica.
Design and implement CI/CD pipelines for data and digital projects using Scala, Java, Python, Spark, and cloud platforms like GCP/AWS/Azure.
Cloud Data Engineer at a consulting firm designing and implementing Azure-based data platforms, integration pipelines (batch and real-time), and optimizing data flows for client projects.
Lead Databricks/Spark engineer responsible for configuring data lakes, optimizing pipelines, and training clients on cloud data solutions. Core focus: Spark, Databricks, and distributed data architectures.
Big Data Engineer at Keyrus France building data pipelines and CI/CD processes using Scala, Spark, and cloud platforms (GCP, AWS, Azure) for client consulting projects.
Lead the backend architecture and data layer for a platform that contextualizes and supervises intelligent agents, transforming a prototype into a production-ready system for pilot clients.
Data Engineer building and maintaining secure, scalable data pipelines for insurance and banking clients, using ETL tools, relational/NoSQL databases, and DataOps practices.
Builds and optimizes scalable data platforms, automates data processes, and leads a team to ensure data quality and governance using Python, SQL, Spark, Airflow, and Snowflake.
Data Engineer working with dbt, Python, and SQL on GCP/BigQuery to design, develop, and support data integration and transformation solutions for enterprise clients across energy, transport, and industry sectors.
Data Engineer designing and developing reliable data pipelines, collecting/transforming data, and optimizing Spark/PySpark treatments in collaboration with Data, technical, and business teams at a consulting firm in Lyon.
Builds and maintains big data platforms using Python, R, Java/Scala in cloud/Hadoop environments; collaborates with teams to innovate and deliver technical solutions.
Freelance Data Engineer migrating and optimizing a GCP BigQuery Data Warehouse for an aerospace/defense client, focusing on performance tuning, CI/CD pipelines, Git repository structuring, and BI migration.
Builds and maintains a centralized data platform for Groupe Pichet’s real-estate, hospitality, and viticulture operations, designing pipelines, ensuring data quality, and optimizing database performance.
Senior Data Engineer designing, developing, and maintaining robust data flows on the Group's data platforms, collaborating with BI and Cloud teams in a hybrid international setup.
Design data architecture and pipelines using Snowflake and dbt for an automotive company, with Python and data modeling skills, working autonomously within a growing data team.
Designs scalable data architectures, builds robust ETL/ELT pipelines, optimizes query performance, enforces data quality/gov, automates workflows, and mentors junior engineers for a French IT services firm specializing in cybersecurity, cloud, and data.
Designs and deploys Azure-based data platforms, optimizes ingestion/transformation pipelines, and maintains DevOps-driven data applications.
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