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Senior Data Engineer to migrate and modernize a large retail analytics platform from BigQuery to Databricks, building scalable Lakehouse pipelines with PySpark, Delta Lake, and Unity Catalog.
Senior Data Scientist builds ML models to optimize dynamic promotions for quick-commerce, scaling non-food offerings and driving revenue growth.
Senior DevOps Engineer designs and maintains cloud-native infrastructure using AWS, Kubernetes, Terraform, Helm, and Ansible, automating CI/CD pipelines and GitOps workflows for fintech, adtech, and ecommerce products.
Product Manager for Wibes, a social commerce platform where users buy items from videos. Drive product strategy, test features via A/B tests, and grow key metrics like GMV and user engagement.
QA engineer testing Wildberries' Astro mobile platform, designing test cases, automating E2E flows, and validating widgets and releases for iOS/Android.
Build and maintain scalable data pipelines on Databricks and Azure to ingest POS, transactional, and operational data, enabling reliable reporting and analytics for a large Canadian restaurant group.
Build and own a reliable analytics data layer using Snowflake, dbt, and Metabase to power business decisions and enable self-serve reporting for a SaaS platform serving the promotional products industry.
Build and maintain data pipelines and ETL processes using PySpark, Airflow, and Databricks to power analytics and customer-focused products for a large retail company.
Designs and maintains scalable data pipelines for retail analytics using Google BigQuery and Python to ensure high-quality data management.
Build and maintain backend services for Shopify integrations using .NET, ASP.NET, and SQL Server in a hybrid role.
Senior data scientist builds and validates contextual bandit systems for retail e-commerce on AWS SageMaker, then takes 24/7 production ownership including monitoring, retraining, and A/B testing.
Build data-mining pipelines and ML models to extract insights from e-commerce data, tagging systems, and user behavior to optimize GMV and productization.
Builds backend services for Sephora’s SEA ecommerce platform using Java/Spring Boot, Kafka, and PostgreSQL to deliver personalized user experiences across 8 countries.
Build and maintain full-stack e-commerce systems using Java/Spring, MySQL, NoSQL, Kafka, and cloud data tools while collaborating across global teams.
Builds and improves an AI-powered search and product discovery platform for global retailers using Go/Java in a cloud-native AWS environment.
Designs and scales Java Spring Boot microservices for finance and eCommerce systems, working across the SDLC in an Agile team.
Builds and maintains backend services for Sephora’s ecommerce platforms, using Java/Spring Boot and event-driven architectures to deliver personalized user experiences across Southeast Asia and Oceania.
Builds and optimizes web and mobile front-end features for a global content e-commerce platform, using React, HTML5, CSS3, and modern JS tooling to improve user experience and merchant-creator matching.
Build and deploy ML models and AI agents on GCP to drive retail and e-commerce analytics, using Python, SQL, and Vertex AI.
Manual QA engineer tests iOS/Android apps and web funnels, focusing on subscriptions, payments, A/B tests, and analytics tools like AppsFlyer.
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