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Python Developer - castro
Senior Python developer building scalable backend systems with Django/FastAPI, integrating AI/ML models (LLMs) and cloud-native architectures (Kubernetes, Databricks) for data-driven clients.
Machine Learning Research Engineer
Develops and improves machine learning models to detect and prevent cheating in Call of Duty using Python, PySpark, and deep learning.
Senior Data Engineer - QuantumBlack
Senior Data Engineer building scalable ML pipelines and GenAI applications using Python, PySpark, Kedro, and cloud platforms to deliver AI solutions for enterprise clients.
Data Engineer - QuantumBlack
Builds and maintains scalable data pipelines, GenAI applications, and advanced analytics platforms for McKinsey’s QuantumBlack AI division, collaborating with clients and cross-functional teams to solve high-impact business problems using Python, PySpark, Kubernetes, and cloud technologies.
Data Engineer (ETL & PySpark)
Designs and builds scalable ETL pipelines using Python, PySpark, and SQL to process large datasets and power analytics and reporting systems.
Data Engineer / Analytics Engineer
Build and optimize scalable data pipelines and dbt projects to power Decathlon’s ecommerce, stores, and logistics across APAC using Python, SQL, Spark, and cloud platforms like AWS and GCP.
Lead Data Engineer
Lead a team to design and build scalable data architectures using Databricks, Apache Spark, and cloud platforms to power analytics and modern applications for a global financial services firm.
Data Engineer II
Build and maintain scalable data pipelines on Databricks to power analytics and insights for GetGo’s carsharing platform, ensuring data quality and accessibility for business decisions.
Freelance Data Engineer
Design and maintain cloud-based ELT pipelines using Snowflake, Airflow, PySpark, and AWS to deliver reliable, scalable data solutions for business insights.
Data Engineer (Spark)
Migrate and optimize data pipelines from Talend to Spark, building scalable PySpark/Scala workflows and integrating them with cloud platforms and orchestration tools.
Data Engineer
Builds and maintains scalable data pipelines on Azure Cloud, using PySpark, Azure Synapse, Data Factory, and ADLS Gen2 to process, transform, and automate large datasets for business needs.
Lead Software Engineer
Lead a team building secure, scalable financial systems using Python, Java, and cloud tech; design microservices, optimize databases, and drive DevOps practices for JPMorgan’s banking platforms.
Python Developer- Banking
Builds and maintains scalable data pipelines and analytics platforms for a large enterprise bank using Python, PySpark, SQL, and HiveQL.
Mid-Level Data Engineer (Microsoft Fabric)
Builds and maintains Microsoft Fabric pipelines and data models that power a healthcare AI platform, transforming care-sector data into predictive insights.
Data Test Automation Engineer
Designs and runs automated tests for ETL/data pipelines in Azure, using Python and SQL to validate data integrity and transformations.
Data Engineer
Build and optimize Azure-based data pipelines and analytics solutions using Synapse, Databricks, and Power BI to ingest, transform, and deliver business insights.
Senior Data Engineer - Azure
Build and maintain Azure-based data pipelines and lakehouse solutions to power generative AI, retrieval-augmented generation, and intelligent agents using Microsoft Fabric and related tools.
AI Data Engineer
Build and optimize scalable data pipelines and AI-ready systems, including vector search, RAG, and retrieval pipelines, using Databricks, Spark, and Python.
Data Engineer F/H - Système, réseaux, données
Build and maintain data pipelines on Azure, Fabric, and Databricks using PySpark, Python, and SQL to deliver analytics and BI solutions for enterprise clients.
DATA Engineer - Environnement Databricks H/F
Build and maintain scalable data pipelines using Databricks, Apache Spark, Kafka, and cloud platforms, while mentoring teams and sharing best practices.