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Lead cross-functional programs to improve data access and collaboration across Amazon’s eCommerce Foundation, using AWS tools like Redshift and Spark.
Build and maintain data pipelines and warehouses using SQL, Python, Spark, and Hadoop to support cross-border analytics and customer experience at Amazon.
Build and scale AWS Elastic MapReduce (EMR), a distributed big-data platform running Hadoop, Spark, and Presto, by designing, coding, and shipping new features for millions of customer clusters.
Make a real difference Be part of one of Victoria’s leading not-for-profits and help create meaningful change in the community every day. Location Sale Work type Part-time, Ongoing Schedule Sunday 8:45am – 5:15pm…
Build and scale a high-traffic trust-and-safety platform that detects harmful content and abusive behavior using Python/Go/C++ and big-data stacks like Flink and ClickHouse.
Design and govern secure cloud-based identity and access management solutions for government digital services, setting standards and collaborating with teams to ensure scalable, secure implementations.
Data analyst building recommendation logic for Sber’s B2C ecosystem using SQL, Scala/Spark, and Hadoop to automate personalized offers for clients.
Owns reliability and performance of Apple’s ETL platform, running Airflow, Spark-on-EKS, and Kafka pipelines on Kubernetes to ensure data freshness and operational readiness.
Builds customer segmentation and Bayesian marketing-mix models to optimize ad spend across channels, using Python, PyMC/Stan, and LLM tools.
Senior Data Scientist - AI Engineering Location: Hyderabad, TS, in Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data…
Applies advanced analytics and research to improve the well-being of Special Operations Forces members and their families using data-driven solutions.
Build and maintain secure, high-scale data infrastructure for federal clients, specializing in FedRAMP environments with PostgreSQL, Kafka, and Kubernetes.
Senior Analyst extracts and analyzes large datasets using SQL, Python, and R to deliver credit-risk insights and business recommendations for fintech clients.
Build and maintain large-scale data pipelines on Google Cloud Platform using PySpark, BigQuery, and Airflow to process and analyze high-volume datasets.
Senior Site Reliability Engineer maintaining 24/7 ecommerce systems, automating ops, and building observability tooling to keep global fashion retail platforms stable and scalable.
Staff Site Reliability Engineer at SHEIN, maintaining 24/7 global ecommerce systems using Kubernetes, Kafka, and observability tools while automating operations and mentoring teams.
Senior engineer building a multi-channel marketing automation engine (email, SMS, push, etc.) with AI-driven personalization on Treasure AI's Rails/TypeScript stack.
Build and scale a big-data platform and analytics services (e.g., prediction-as-a-service) that power Mastercard’s payments-focused data products using Python/Scala, Spark, Hadoop, SQL and React.
Lead backend engineer building large-scale data pipelines and AI agents in Scala/Python/Java on Cloudera/Spark and AWS to power Mastercard’s global payments analytics and automation.
Build predictive models and analytics to optimize Mastercard’s pricing and interchange strategies using Python, SQL, and cloud platforms like Azure.
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