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Lead a data engineering and analytics team to build scalable data infrastructure and AI-powered analytics for Serve Robotics' autonomous delivery robots, enabling data-driven decisions across operations and product.
Build and own JVM microservices (Java/Kotlin) on AWS that power a global container logistics intelligence platform, optimizing routes, schedules, and emissions data for shippers and freight forwarders.
Build and optimize Amazon’s cloud-based data infrastructure, designing ETL/ELT pipelines and reporting solutions to enable real-time analytics for IT services across the company.
Builds and maintains scalable ETL pipelines and data warehouses to power analytics for EA’s user-generated content platform, using Python, SQL, Airflow, and cloud platforms.
Build and maintain cloud data pipelines using SQL, Python, and AWS services like Glue and Redshift to deliver reliable data solutions for clients.
Build and maintain scalable data pipelines using Python, DBT, and cloud warehouses (Snowflake/Azure) to power analytics and business decisions.
Build and maintain ELT pipelines and data models for a cloud platform serving tours & attractions, using SQL, Python, and cloud data tools.
Lead a data engineering and analytics team to build scalable data infrastructure and AI-powered analytics for a robotics-based delivery startup, ensuring reliable, governed data products for cross-functional decision-making.
Build and maintain ETL pipelines, analyze financial data with Python/SQL, and create dashboards in Power BI to support treasury and finance decisions.
Build and maintain scalable data pipelines and cloud-based analytics infrastructure to support data-driven decisions in the energy sector.
Design and maintain scalable data pipelines and warehouses to feed analytics and ML, using Python, SQL, cloud platforms (AWS/Azure), and ETL tools.
Build and scale Relay’s Snowflake data warehouse and DBT models, create data tools and APIs, and ensure secure, privacy-preserving analytics for fintech growth.
Build and scale a data platform from the ground up, designing pipelines, models, and orchestration to enable reliable analytics and decision-making across the company.
Senior Data Engineer builds and optimizes large-scale data pipelines for Samsung’s cloud services and devices, processing TBs of data daily using AWS, Spark, Kafka, and Python.
Lead and build cloud data pipelines using Python, PySpark, SQL, and Databricks for enterprise banking systems, ensuring efficient ingestion, transformation, and analytics at scale.
Senior AWS Data Engineer designs and implements cloud data migration solutions using AWS services like DataSync, Redshift, and CDK, and automates ETL workflows with Step Functions or Airflow.
Build and maintain an AI-forward data platform using Databricks, Python, PySpark, and cloud services to power analytics and ML for life-sciences clients.
Build and maintain Amazon’s massive data warehouse and ETL pipelines to power supply-chain analytics and business intelligence used by thousands of users.
Build and maintain CI/CD pipelines, cloud infrastructure, and monitoring for a SaaS ad-tech platform that serves responsive rich-media ads, using AWS/Google Cloud and DevOps tooling.
Build and maintain CI/CD pipelines, cloud infrastructure, and monitoring for a SaaS ad-tech platform that serves responsive rich-media ads.
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