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Build and maintain AWS’s internal data platform, designing ingestion pipelines, distributed compute workflows, and storage systems to process trillions of events monthly using Kinesis, EMR/Spark, and Redshift.
About the role Key responsibilities: Proficient in cloud architectures and designing cloud-based solutions Design, develop IoT/Cloud-based JavaScript/ Node.JS applications using Amazon Cloud Computing Services.• Work…
Design and deploy scalable cloud-based streaming analytics architectures for AWS customers using Kinesis, Kafka, and Flink, enabling real-time data pipelines and AI-driven insights.
Build and lead distributed systems for AWS’s Journal, a high-performance, fault-tolerant log service committing over 100M transactions/sec, using modern cloud and database technologies.
Build and deploy ML/optimization models for Amazon’s middle-mile logistics, including forecasting and network planning, using Python, SQL, and AWS services.
Builds and maintains large-scale data pipelines and warehouses using AWS services like Redshift, Glue, and S3 to power analytics and reporting for AWS sales and operations teams.
Build and maintain Amazon Prime’s data infrastructure, designing ETL pipelines and warehouses to deliver real-time customer insights for marketing, retail, and leadership using AWS technologies.
Build and maintain scalable ETL/ELT pipelines and data warehouses on AWS to power AI-driven analytics and creator monetization at Amazon’s Creator Services.
Design and implement AWS-based data and AI architectures for financial-services clients, advising C-level executives on cloud-native platforms and generative-AI solutions.
- Bachelor's degree in Computer Science, Computer Engineering or a related technical discipline - Experience designing, building, operating, and managing large-scale distributed systems or web services - Experience…
Lead a team building core ML data infrastructure, including feature stores, pipelines, and streaming systems to power Amazon’s bot detection models at scale.
Build and maintain scalable data pipelines for Alexa Audio, processing large datasets to power next-gen AI-driven audio features using AWS tools like Redshift, Glue, and EMR.
Build and scale financial planning tools for Amazon’s Devices and Services teams using AWS data tech and IBM TM1, automating pipelines and reporting for budgeting and performance analysis.
Build and maintain cloud-based data pipelines (batch and real-time) on AWS, using SQL, Python, ETL tools, and Snowplow to feed analytics and product insights.
Design and build scalable AWS-based data pipelines and warehouses using Python, Spark, and SQL to ingest, process, and deliver large datasets for clients across multiple sectors.
Build and maintain scalable ETL/ELT pipelines, cloud data warehouses (Snowflake/BigQuery), and orchestration workflows (Airflow) to deliver reliable, analytics-ready data for business intelligence and machine learning.
Lead a team building scalable cloud-based data pipelines and platforms that power analytics, ML, and reporting for FOX’s digital media products using Python, Spark, Kafka, and cloud services.
Build and maintain scalable data pipelines and cloud-based platforms to power analytics, personalization, and ML across FOX’s digital media ecosystem using Python, PySpark, Kafka, and AWS.
Build and own the low-level data plane for an AI security platform, working with Rust/Go, Envoy proxy, WASM filters, and Kubernetes to enable real-time policy enforcement and audit logging at scale.
Leads the architecture and scaling of a healthcare data platform that ingests and processes clinical data for millions of patients, using cloud-native tools and modern data stacks.
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