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Builds distributed software to monitor and optimize AWS’s global backbone network, using AWS services like DynamoDB, Lambda, and EC2 to ensure 100% uptime.
Design and validate enterprise data platforms using open table formats (Iceberg), object storage, lakehouse architectures, governance, and streaming pipelines to support AI-ready analytics and compliance.
Build and scale Vi’s data foundation by designing robust pipelines, reusable models, and quality controls that power AI-driven health outcomes for patients and care teams.
Company Overview Delta Galil USA, Inc. is a global manufacturer and marketer of branded and private label apparel products for men, women and children. Since its inception in 1975, the company has continually…
Senior engineer deploys Adonis’s AI-driven RCM platform on-site at hospitals, integrating with Epic/Athena and writing Python/TypeScript code to extract and transform clinical data into scalable revenue-cycle solutions.
Build and maintain ETL/ELT pipelines, model data in Redshift/Athena, and create Tableau dashboards to power business decisions for a mobile app company.
Build and own large-scale distributed data pipelines and storage systems using Airflow/Dagster, Spark, dbt, Kafka, and AWS to power global retail analytics.
Lead a team building scalable data pipelines and warehousing on AWS for HR analytics, using PySpark, Kafka, and Terraform to integrate disparate systems and deliver business intelligence.
Lead a team building scalable data pipelines and warehousing solutions on AWS for HR analytics, using PySpark, Kafka, and Terraform to integrate disparate systems and deliver business intelligence.
Build and maintain data pipelines and software systems to process and analyze global consumer and business data for Experian's products.
Build and validate data pipelines for a UK & Ireland credit lender’s centralized data lake, harmonizing schemas, enforcing quality, and preparing clean datasets for risk modeling under GDPR constraints.
Build and optimize large-scale, cloud-native data pipelines using Scala, Spark, and distributed systems to power Experian’s marketing data platform at petabyte scale.
Build and maintain AWS-based data pipelines and ETL processes for a fintech and mobility company, using Glue, Lambda, DynamoDB, and related services.
Architect and maintain a hybrid cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, pipelines, IAM, and observability to power analytics and AI transformation.
Lead a team to build, optimize, and deploy AI models on AWS using SageMaker, Bedrock, and Rekognition, while architecting scalable data pipelines with Athena, Redshift, and OpenSearch.
Lead the design and scaling of a marketing analytics platform’s data pipeline using AWS S3, Athena, EKS, and Airflow for OLAP workloads and ETL processes.
Lead a team to architect and maintain a high-volume marketing analytics platform, designing S3-backed data lakes, ETL pipelines, and OLAP workloads using AWS tools like Athena and Airflow.
Lead a team to design and maintain scalable data pipelines and analytics architecture for a high-volume marketing analytics platform using AWS, Airflow, and OLAP systems.
Lead the design and implementation of ETL pipelines and a scalable S3-backed data lake for a marketing analytics platform using Airflow, AWS Athena, and EKS.
Lead a team to design and maintain OLAP pipelines on AWS, using Airflow for ETL orchestration and S3-backed data lakes for large-scale marketing analytics.
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