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Designs and maintains data pipelines, infrastructure (AWS DMS, HBase, Kafka, Airflow, etc.), and tools to enable data-driven decisions for Wattpad’s storytelling platform.
Designs, deploys, and maintains cloud-native infrastructure (AWS, Kubernetes) and Snowflake data platform to ensure reliable, secure, and cost-efficient healthcare data access for Komodo’s analytics suite. Focuses on IaC, observability, compliance (HIPAA/SOC2), and AI-assisted automation for infrastructure and data ops.
Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than…
The Data/Analytics Engineer will design and manage end-to-end data projects, build ETL/ELT pipelines, and create dashboards within a banking environment. The role focuses on data reliability and compliance using tools like Python, SQL, Airflow, and Power BI.
About Us Connected International, Inc. (Connected Cannabis Co.) is a leading vertically integrated cannabis company based in Sacramento and operating in California, Arizona, and Florida. With over 11 years experience,…
Senior API developer specializing in building and maintaining RESTful APIs, AI-driven systems, and Progressive Web Apps using React, TypeScript, Node.js, and Next.js. Focuses on integrating AI agents, MLOps, and cloud platforms like Azure.
Design and maintain scalable data pipelines for Grab’s lending business using Flink, Spark, Kafka, and AWS services to deliver real-time metrics and analytics.
Our Culture CoinShares is an innovative, agile and ambitious organisation. We strive for excellence in everything we do. We are a high performance culture with a focus on: Professional and personal integrity Curiosity…
Location: Sydney Job Description: Responsibilities: Develop and maintain automation frameworks for data platforms and pipelines. Build automated validation for data ingestion, transformation, and reporting workflows.…
CareCone Group is seeking Automation Engineers with a strong Data Engineering background for AWS data stack, Snowflake, and Airflow. The role focuses on building automation frameworks, validating data pipelines, and…
We are seeking Automation Engineers with a strong Data Engineering background and hands-on experience in AWS Data Stack, Snowflake, and Airflow. This is an engineering-focused role requiring expertise in building…
Build and maintain high-volume, real-time data pipelines and graph databases (ArangoDB) while automating cloud-native deployments and ensuring data reliability.
About CRU: CRU International is a leading provider of business intelligence and consulting services in the metals, mining, and fertilizer industries. With over 50 years of experience, we offer valuable insights and…
The Data Scientist leverages machine learning and statistical modeling to analyze structured and unstructured data, supporting business decision-making. The role involves developing predictive models within Snowflake pipelines and communicating insights to stakeholders across the organization.
The Marketing Data Analyst will manage B2C marketing KPIs, analyze acquisition funnels, and build self-serve reporting and AI-powered data products to support growth. The role requires strong SQL and Python skills to bridge the gap between marketing, product, and data teams.
Чем ты будешь заниматься: Проектировать и разработать ETL-процессы (batch). Создавать backend-сервисы на Python для обработки данных и интеграции с внешними системами. Инжиниренно оптимизировать ML-проекты: рефакторить…
Analyzes B2C marketing data to track KPIs, optimize acquisition funnels, and build AI-driven insights for growth. Works with SQL/Python to improve tracking, attribution, and self-serve reporting for cross-functional teams.
The AI Platform & Machine Learning Engineer will build and maintain scalable infrastructure for training, deploying, and monitoring machine learning models for wearable construction technology. The role focuses on the end-to-end ML lifecycle, utilizing tools like Python, PyTorch, and containerization to bridge the gap between research and production.
Lead the modernization of financial data processing systems by migrating legacy ETL pipelines to scalable Python-based architectures, ensuring high availability and regulatory compliance.
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