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Build and maintain scalable data pipelines and cloud data warehouses (Snowflake/AWS Redshift) to power AI-driven healthcare analytics in Saudi Arabia, integrating clinical and claims data via HL7/FHIR.
Design and build scalable cloud data pipelines and platforms using AWS services, Python, PySpark, and Databricks to deliver reliable, high-quality data for analytics and decision-making.
Build and optimize cloud-native data pipelines and warehouses on AWS using Python, ETL/ELT tools, and modern data stacks for analytics and ML workloads.
Design and maintain scalable data pipelines, cloud data lakes/warehouses, and ETL workflows using Python, Spark, and Airflow to support analytics and ML across AWS/GCP/Azure.
Build and maintain AWS-based data pipelines and warehouses using Python, SQL, and services like Glue, Redshift, and S3 to enable analytics and ML feature stores.
Designs and builds AWS-based data pipelines and feature stores using Python, SQL, and tools like Glue and Sagemaker to support analytics and ML workloads.
Senior QA Engineer designs and runs test strategies for Amazon Connect contact-center systems, builds automated test suites (Playwright, Cypress, Selenium), and validates AI-driven voice agents and serverless AWS backends.
Senior Data Engineer builds and maintains scalable data pipelines and infrastructure using AWS, Databricks, and Kafka to support analytics and AI initiatives in a large media company.
Senior Data Engineer builds and operates scalable cloud/on-prem data architectures, pipelines, and models to store, integrate, and secure enterprise data assets for AI and analytics workloads.
Build and maintain scalable backend services and real-time data pipelines for a Hong Kong-based ad-tech platform, using Golang and AWS.
Design and build scalable, cloud-native data pipelines and data-lake architectures on AWS using S3, Glue, Redshift, and Kinesis.
Design and build scalable AWS data pipelines and real-time streaming systems using Confluent Kafka for analytics and AI workloads.
Build and maintain data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality across AWS infrastructure.
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Design and build scalable data platforms on AWS, Azure, and GCP, using cloud warehouses, Spark, Kafka, and Python/Java to enable AI-driven analytics for enterprise clients.
Senior Data Engineer builds and scales Snowflake-based cloud data platforms, designs ELT pipelines, and optimizes data models to power analytics and reporting across a fintech organization.
Design and build scalable, cloud-native data pipelines using Python, AWS (Glue, Lambda, DynamoDB), and SQL for global projects with a US client.
Designs and maintains scalable data pipelines and databases for a real-estate brokerage, using Python, SQL, AWS, and ETL tools.
Build and scale a cloud-native data platform in Snowflake, owning ELT pipelines, data models, and governance to deliver trusted analytics and self-service capabilities for a fintech client.
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