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Working Location: Hung Hom, Kowloon Employment Duration: 24 months / permanent We are seeking a customer-focused professional to support digital transformation initiatives within Customer Operations through the design…
Company Overview: We're building modern software for law enforcement. Today, officers spend countless hours navigating fragmented systems and completing administrative tasks. We believe public safety deserves tools…
Builds and maintains data pipelines and platforms for monetization data (pricing, billing, ads, payments) to enable product, finance, and GTM teams with accurate, scalable data products.
You engineer production-grade ML systems for rail-inspection data, turning prototypes into reliable, scheduled pipelines and APIs that run on AWS and handle years of sensor data.
Designs and optimizes ETL pipelines, MLOps workflows, and data lakehouse architecture to power analytics and AI/ML systems for an edtech company.
Builds and maintains internal platform infrastructure for autonomous vehicle software development, testing, and deployment, including CI/CD, orchestration, and observability tools.
Builds and optimizes enterprise data pipelines using Python and Microsoft Fabric, ensuring scalability, maintainability, and compliance with governance standards in a real-estate tech company.
Builds and scales a production-grade ML/MLOps platform for 300+ data scientists across 60+ teams, focusing on Databricks MLOps and AWS SageMaker infrastructure.
Build and architect user-facing components for Paystand’s blockchain-enabled B2B payments network, integrating AI tools and modern full-stack tech to redefine commercial finance.
Designs, develops, and maintains data architecture and pipelines to transform raw data into processed data, ensuring scalability and reliability for business needs. Core technologies include Big Data tools (Spark, Airflow), SQL/NoSQL databases, and programming languages like Java/Python.
Designs, develops, and maintains data architecture and pipelines to transform raw data into processed formats, ensuring scalability, reliability, and performance for business operations. Core technologies include ETL/ELT, Big Data tools (Spark, Airflow), SQL/NoSQL databases, and programming languages like Java/Python.
Builds and maintains production data pipelines (Python/Airflow) to ingest, transform, and deliver data securely in Snowflake/Databricks, ensuring reliability and governance for Fanatics’ global sports commerce, collectibles, and betting platforms.
Builds and maintains Vouch’s insurance brokerage platform, focusing on backend services, AI-agent integrations, and data platforms (Postgres/Snowflake) to enable deterministic, auditable workflows for brokers and clients.
What You'll Do Avalara’s Customer Onboarding organization is scaling rapidly across professional services, managed support, assisted, guided, and self-serve implementation motions. We are seeking an AI Solutions…
Lead a team building and operating Hootsuite's AI-driven analytics platform, including orchestration, agent infrastructure, and data pipelines, while setting technical direction and ensuring production-grade reliability.
Lead a team to architect and build scalable data pipelines and warehouse models in Python and SQL, enabling reliable analytics and reporting for a global fertility and family care platform.
Builds and maintains scalable data pipelines, writes SQL queries, and ensures data quality for AI/analytics solutions by integrating data from multiple sources into centralized repositories.
Builds and maintains scalable data pipelines to process raw data into actionable insights, collaborating with data scientists and engineers. Core techs: Python, SQL, ETL/ELT, and database architectures.
Builds and maintains cloud infrastructure (Azure) and CI/CD pipelines for fund administration platforms, automating deployments, monitoring, and troubleshooting production issues in a global follow-the-sun engineering model.
Designs, builds, and maintains cloud-based data pipelines and infrastructure for a FinTech wealth management platform, focusing on Airflow, Python/SQL, and Azure/Kubernetes. Ensures scalability, reliability, and operational efficiency for financial data workflows.
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