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Build and maintain scalable data pipelines and ETL processes for analytics and AI modules, working with Data Scientists to integrate and optimize data architectures in a consulting environment.
Build and maintain high-volume data pipelines for a major e-commerce player using Python, Snowflake, Kafka, and Kubernetes, ensuring scalability and data integrity.
Build a cloud-based data platform from scratch for finance, industry, and tech clients, focusing on distributed Spark pipelines, high-volume ingestion, and scalable backtesting.
Design and build data pipelines, ETL workflows, and dashboards using SQL, Python, Talend, and Power BI to support client projects and internal analytics.
Senior Data Engineer to design, build, and maintain secure, efficient data architectures for reliable data collection, storage, analysis, and delivery.
Senior GCP Data Engineer designs and optimizes data pipelines on Google Cloud Platform, focusing on Dataform and BigQuery with SQL.
Designs and builds data pipelines and processing systems to power AI solutions for energy optimization and industrial automation using Python, Spark, and cloud platforms.
Build and maintain data pipelines, cloud infrastructure, and support data scientists in industrializing their models using technologies like Spark, Kafka, and Snowflake.
Build and deliver business-intelligence applications for clients, gathering requirements, writing specs, and developing ETL/data-pipeline solutions using tools like ODI, Datastage, or Power BI.
Build data pipelines and interactive tools to automate analyses for drug discovery, using Python/Java/Scala/C++ and cloud platforms like AWS/GCP.
Build and maintain CNP Assurances’ data infrastructure, enriching the Datalake and collaborating with Data Scientists to deliver innovative use cases using AWS, Python, Spark, and Snowflake.
Builds and maintains data pipelines and dashboards in Python and SQL to deliver insights for healthcare operations and decision-making.
Design and build Databricks-based data pipelines and warehouses for enterprise clients, mentor junior engineers, and lead end-to-end industrialization of data solutions.
Build and maintain a reliable data infrastructure, automate pipelines, and create dashboards to support decision-making and self-service analytics for a fast-growing edtech startup.
Build and maintain the data stack for AI teams that detect objects in satellite imagery using Python, Airflow, PostgreSQL, and AWS, while also contributing to model training pipelines.
Build and maintain data pipelines and ETL processes for industrial clients using Python, Spark, Kafka, and cloud platforms like AWS/GCP/Azure.
Build and maintain scalable data pipelines, warehouses, and lakes for public-sector or energy clients using Kafka, Spark, Snowflake, and GCP/Azure.
Build and maintain data pipelines, optimize databases, and deploy data platforms for a French financial-intelligence service, using Python, SQL, and cloud-native tools.
Designs, builds, and maintains scalable data pipelines and streaming architectures using Spark, Kafka, and Python, while enforcing data quality, observability, and CI/CD practices for enterprise clients.
Build and maintain ETL/ELT pipelines to ingest and transform game-player data, ensuring quality and reliability for Ubisoft’s titles like Assassin’s Creed and Rainbow Six.
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