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Builds and optimizes scalable ETL/ELT pipelines and ML workloads on Azure using Python and SQL to produce high-quality datasets for AI-driven solutions.
Build and optimize PySpark pipelines on Cloudera for large-scale banking data, enabling reliable ETL and analytics that power critical financial applications.
Designs and maintains data pipelines to feed quantitative research and live trading strategies using Python and SQL.
Design and build scalable data pipelines and platforms to support digital transformation initiatives for enterprise clients in Abu Dhabi.
Lead a team to design and build scalable data pipelines and infrastructure for AI applications, focusing on vector search and RAG systems using Python, SQL, ETL, NoSQL, and Kubernetes.
Lead a team to design and maintain scalable data pipelines for AI/LLM systems, including vector search, RAG, and semantic retrieval, ensuring high-performance enterprise data infrastructure.
Design and build Azure-based data platforms for banks in Dubai using medallion architecture, Databricks, and ETL pipelines to deliver analytics-ready datasets and support BI/AI workloads.
Designs and builds Azure-based data pipelines for banking clients using Databricks and medallion architecture.
Build and maintain Azure-based data pipelines and warehouses using Synapse, Databricks, and ADF to turn SAP and other sources into clean, business-ready datasets.
Race engineer collecting and analyzing real-time telemetry from motorsport vehicles to optimize performance and strategy using tools like Bosch WinDarab and AIM RaceStudio.
Senior Data Engineer builds and maintains GenAI-powered data pipelines, cleans data, and delivers insights to drive data-driven decisions for Presight's platform.
Design and optimize an enterprise-grade data platform to ensure reliable, accessible data for analytics and reporting in a logistics company.
Build and maintain AI-ready knowledge systems by cleaning, structuring, and connecting client data for RAG chatbots and enterprise copilots using vector search and embeddings.
Designs and maintains scalable data pipelines and transforms raw data into reliable datasets for analytics and reporting using SQL and cloud/distributed systems.
Build and maintain data infrastructure for AI-powered workflows, designing pipelines and models to ensure data quality and operational efficiency.
Build and maintain Azure-based data pipelines using Data Factory, Spark, and Hadoop to enable analytics and reporting for Naviq’s big-data initiatives.
Designs and builds scalable industrial data pipelines with Python, SQL, and Cognite Data Fusion to deliver AI-driven insights for customers.
Builds and maintains reusable data products for analytics using SQL, dbt, and Google Looker in a retail ecommerce environment.
Build and operate the cloud infrastructure and data pipelines that power SentraAI’s enterprise AI and analytics systems using Terraform, event streaming, and observability tools.
Senior BI & Data Engineer builds and optimizes Azure-based data warehouses, pipelines, and Power BI dashboards to deliver enterprise analytics and unified customer insights.
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