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Build and maintain scalable data platforms using Python, SQL, DBT, BigQuery, and Cloud Composer to help clients operationalize and analyze their data.
Build and maintain data pipelines for geospatial, weather, and crop data to power DNEXT’s agricultural market intelligence platform.
Design and deploy cloud data pipelines on Azure and AWS using Terraform, and build robust data models for an energy-sector client.
Lead a team to design and build scalable data pipelines using Spark, Kafka, and cloud platforms (Azure/GCP) while ensuring data quality and governance for analytics and AI projects.
Build and maintain cloud-based data pipelines for environmental and satellite data using Python (pandas, xarray, rasterio, geopandas) and GIS tools to support crop analysis and client deliverables.
Build and maintain a Microsoft Fabric-based data platform for a multi-energy provider, focusing on ingestion, lakehouse architecture, and data quality.
Design and maintain robust data architectures for a Mexican energy company, ensuring data quality, integration, and governance to support operational efficiency and decision-making.
Senior Data Engineer building scalable data platforms and AI pipelines for industrial use cases using Python, Databricks, MLflow, and cloud infrastructure.
Build and maintain large-scale geospatial data pipelines for Earth observation data using Python, Kubernetes, Docker, and cloud services.
Build and maintain robust data pipelines for aircraft fleet performance and predictive maintenance using Python, SQL, and Spark.
Senior Java Big Data consultant designs, builds, and optimizes large-scale data pipelines and Spark clusters for enterprise clients using Azure Cloud and on-prem systems.
Build and maintain large-scale data pipelines for energy storage systems, enabling predictive models and optimizing battery operations in a fast-growing cleantech company.
Build and maintain large-scale geospatial data pipelines on Kubernetes, integrating remote sensing and AI for energy-market intelligence.
Build and own a scalable Azure-based data lake and analytics platform, from ETL pipelines to embedded BI and future ML/GenAI exploration for industrial clients.
Build and maintain scalable data pipelines using Python, Spark, and Databricks to support analytics and AI projects for clients across industries, with a focus on sustainability.
You design and automate industrial IT/OT environments for a high-tech aerospace and defense company, using DevOps practices, Ansible, Python, and industrial systems like MES/SCADA.
Design and operate big-data pipelines, build real-time processing systems, and create dashboards to support naval decision-making using Python, SQL, PostgreSQL, and Big Data tools.
Build and maintain reliable data pipelines for a Lyon-based energy broker, enabling analytics and insights for the team.
Designs, builds, and maintains big-data pipelines and Spark/Hadoop jobs for clients in finance, insurance, energy, and other sectors using Java, Scala, and Python.
DevOps engineer specializing in HPC and GPU acceleration to migrate and optimize high-performance computing applications for an energy-sector client using NVIDIA tech.
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