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Build bilingual Arabic/English React frontends for sovereign AI products, shipping pixel-perfect UIs that stream data in real time and run offline with no external dependencies.
Builds React/TypeScript frontends and Node.js or Python backends for AWA’s AI platform, creating reviewer dashboards and customer portals that surface agent state, confidence scores, and real-time metrics.
ABOUT PATTISON ID Pattison ID is a highly successful, North American company growing organically and through ongoing acquisitions. It is one of the world’s largest sign and physical branding element companies, with…
Builds predictive models and analyzes large datasets to optimize customer-agent interactions in contact centers using Python/R and statistical methods.
Build and maintain full-stack systems for mobile games using JavaScript, TypeScript, Python, and cloud platforms like AWS or Google Cloud.
Lead the Group’s data governance framework, define master data standards, enforce quality rules, and partner with teams to ensure consistent, compliant data across all entities and systems.
Builds and maintains BI dashboards and data visualizations using Power BI, Tableau, or QlikView to turn complex data into actionable business insights.
Designs and refines dashboard interfaces and data visualizations, collaborating with teams to improve usability and user experience in a consulting environment.
Build and deploy AI/ML systems for U.S. federal agencies, integrating Python/Java/C++ with cloud platforms like AWS/Azure while ensuring system security.
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics and reporting.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure reliable data flows for analytics.
Designs and builds data pipelines to process multimodal biosensor time-series data using Python, then visualizes and communicates insights to stakeholders in a healthcare-focused team.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure data quality for enterprise clients.
Build and scale data pipelines, warehouses, and analytics for a global fintech/crypto platform using Python, Spark, Kafka, and cloud tools.
Designs and maintains automated data pipelines and ETL/ELT processes for a global data engineering firm, translating business needs into technical solutions while ensuring data integrity and governance.
Builds and maintains data pipelines for digital health applications, processing multimodal biosensor time-series data (accelerometer, ECG, PPG, EEG) using Python, cloud-native tools, and AWS services.
Build and maintain data pipelines and warehouses for financial data using SQL, Airflow, and ETL tools to power analytics and reporting.
Build and maintain scalable data pipelines and cloud-based analytics solutions using Python, SQL, and tools like Databricks and Spark to turn marketing and media data into actionable insights.
Design and build scalable data pipelines using Spark, Databricks, and Snowflake to power analytics and AI/ML workloads for enterprise clients.
Build and maintain enterprise SaaS reporting features using Java/Spring Boot and Python, designing cloud-native data pipelines and REST APIs on AWS.
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