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Build and run backend services for an affiliate platform: event tracking, commission calculation, partner management, and anti-fraud controls using Java/Spring Boot on AWS with Kafka, Redis, and Kubernetes.
Design and maintain cloud data platforms, ETL pipelines, and data warehouses for a growing bank, ensuring reliable, secure data flows and enabling analytics and AI use cases.
Build and maintain high-volume event streaming pipelines and analytical databases using Elixir, Python, and modern streaming tech to power real-time marketing personalization at scale.
Design and build scalable AWS Data Lake and Lakehouse solutions using Glue, Lambda, Step Functions, and Kinesis to process large-scale cloud data pipelines.
Design and build scalable AWS data platforms, including data lakes and ETL/ELT pipelines using AWS Glue, Redshift, and Kinesis for batch and streaming workloads.
Senior Data Science Engineer or Senior Machine Learning Engineer at PayPay builds and deploys ML models for fraud detection, recommendations, and insights, using Python, SQL, and cloud tools in a hybrid Tokyo office.
Lead a team building scalable data pipelines and warehouses on AWS, enabling self-service analytics with Python, SQL, and tools like Redshift and Airflow.
About the role This is a hands-on, senior individual-contributor role with a strong passion on building a possible vendor neutral lakehouse. You will own data pipelines end to end and build out the governance and…
Company Description Xplor Technologies powers the experiences at the heart of everyday life. Through modern vertical software, embedded payments, and AI-powered capabilities, we help businesses in fitness, recreation,…
Build and maintain scalable data pipelines using Azure Data Factory, Databricks, and ETL tools like dbt or Airflow, with a focus on performance, cost, and data quality.
Build and maintain Azure-based data pipelines using Python/PySpark and Databricks, automating ETL processes and integrating data sources for a global background-screening platform.
Design and deploy scalable cloud analytics architectures for AWS customers using streaming services like MSK, Kinesis, and Flink, and guide migrations to AWS data solutions.
Build and maintain full-stack Python (FastAPI/Flask/Django) and React apps with MongoDB, AWS, and Terraform, owning end-to-end delivery of scalable cloud-native features.
Build and maintain React-based frontend features for a brand-performance analytics platform, integrating AI-driven insights and modern cloud tech.
Build and scale backend services for Booking.com’s RegTech compliance platform, using Java and microservices to screen partners and transactions while ensuring regulatory adherence.
Build and optimize high-throughput, low-latency backend services for digital advertising delivery and analytics using Python/Go and AWS.
Build and maintain scalable ETL/ELT pipelines in Snowflake or BigQuery, using Python and AWS services to feed analytics and BI dashboards in Domo.
Builds and maintains Java/Spring Boot backend services and data pipelines for a video-commerce platform, handling large-scale user behavior data, ads, and order attribution.
Build and refine ML models for AWS contact-center services, analyzing data to improve performance and explainability in a fast-paced environment.
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