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Designs and builds reusable data pipelines on Databricks and Azure for an energy solutions provider’s DnA platform.
Designs and builds data architectures and backend systems for AI, integrating industrial and corporate data using Microsoft Fabric, Power BI, and REST APIs.
Senior Data Engineer builds and maintains SAP BW and Palantir Foundry pipelines to integrate industrial data for Airbus Helicopters, using ABAP, PySpark, and SQL in an Agile environment.
Builds and maintains real-time water-management dashboards and automated data pipelines using R, SQL, and visualization tools to support sustainable water-resource planning.
Build and deploy agentic AI systems and LLM-powered applications for a global insurer, focusing on RAG, multi-agent orchestration, and robust MLOps pipelines.
Build and maintain data pipelines, integrate industrial IoT and ML models, and deploy AI solutions using Microsoft Fabric for an industrial digital-transformation project.
Build and maintain data pipelines, integrate IoT and industrial data sources, and deploy ML models using Microsoft Fabric and Python for an AI-driven industrial transformation project.
Designs and builds scalable data platforms to power AI and analytics, setting enterprise-wide data strategy and governance for a global fragrance and flavor company.
Designs and deploys cloud-native data pipelines and AI services on AWS for Schneider Electric’s climate-tech products.
Designs and builds cloud-native data pipelines and AI systems for Schneider Electric’s sustainability and energy-management platforms.
Senior software engineer building scalable data pipelines for an AI-driven sustainability platform, collaborating across backend and frontend teams.
Maintains the Illustrated Parts Catalog for Airbus’s H140 helicopter, translating engineering data into accurate spare-parts lists to ensure airworthiness and safe maintenance.
Designs and builds AI systems to optimize industrial energy operations in a hybrid role, collaborating with cross-functional teams to deliver measurable business impact.
Build and scale data infrastructure for a bioenergy company, ensuring data quality and governance using SQL, Python, Azure, and Databricks.
Designs and optimizes cloud-based ETL/ELT pipelines and data lakes using AWS, dbt, Airflow, and Terraform to deliver data products for analytics teams.
Build and maintain scalable pipelines that turn raw satellite data into reliable, high-quality geospatial products for governments and businesses.
Build and maintain scalable data pipelines and Python software to transform climate science into production-ready datasets and APIs, collaborating with climate scientists to deliver risk products.
Senior Data Engineer builds data pipelines and models integrating SAP BW with Palantir Foundry to support aerospace operations and analytics.
Designs and maintains cloud data pipelines and analytics platforms for food and beverage processing plants, enabling AI-driven predictive maintenance and operational reporting.
Build and maintain Python-based data pipelines and cloud-native trading tools on AWS to support energy trading operations.
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