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Design and build scalable data pipelines on Hadoop, Azure, and PySpark, then orchestrate and monitor them with Airflow and Kafka to deliver clean, reliable data products.
The purpose of this position is to design, develop, and deliver data, analytics, and AI solutions that enable data-driven decision-making and support enterprise-wide transformation initiatives. The position plays a key…
Designs and maintains scalable ETL pipelines and data integration processes using Python, SQL, Hadoop, and Spark to consolidate enterprise data.
Builds and maintains scalable data pipelines, ETL processes, and ML models in Python/SQL, then visualizes insights for stakeholders using tools like Power BI or Tableau.
Senior engineer leading the evolution of an internal digital platform, designing backend services in Java/Kotlin, and coaching junior engineers while driving technical roadmaps and best practices.
Shape the future of trading technology - and your career. You'll work on cutting-edge technology that directly impacts traders and investors worldwide, while advancing your career in one of the most exciting…
Build and migrate a legacy Hadoop data warehouse to a modern Spark 3/Iceberg lakehouse, optimizing ETL pipelines and analytics for a large-scale client.
Build and migrate production-critical data pipelines from a legacy Hadoop warehouse to a Spark 3 / Iceberg lakehouse, using Spark, Hive, Iceberg, and Airflow.
Build and deploy AI-driven software solutions for clients, using Python, JavaScript/TypeScript, and cloud platforms like AWS/Azure/GCP.
Build and optimize large-scale data pipelines and AI infrastructure for Microsoft Ads, enabling real-time analytics and monetization for Bing’s advertising engine.
Acceldata is reimagining the way companies observe their Data! Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into…
Lead AI engineering efforts to build and deploy scalable big-data solutions, predictive models, and LLM-based systems using Spark, Python/R, and cloud platforms.
Principal engineer building scalable AI-driven data platforms for Microsoft Ads, optimizing streaming pipelines and real-time analytics to power Bing’s $10B ad monetization engine.
Lead AI and machine-learning initiatives for Manulife’s insurance business in Asia, building predictive/prescriptive models and GenAI solutions to drive sales, underwriting, and customer engagement while ensuring robust governance and measurable business impact.
Build and maintain internal BI platforms and data pipelines for TikTok’s ad-tech stack using Hadoop/Spark, SQL, and Java/Python to power monetization analytics.
Build and optimize large-scale recommendation and search infrastructure for TikTok Shop using big data tools like Spark, Flink, and Kafka to support ML-driven e-commerce features.
Build ML systems for crypto-exchange compliance, detecting financial crime using on-chain, fiat, and KYC data with AI-assisted tooling and production-grade pipelines.
Build and maintain global e-commerce data warehouses and real-time pipelines using Spark, Flink, and ClickHouse to support risk detection and marketplace governance.
Designs and optimizes cloud-based big data architectures (Alibaba Cloud, AWS) for a crypto exchange, building scalable pipelines and governance systems to support analytics and product decisions.
Build and run the data platform that powers OKX’s crypto exchange, integrating LLM-driven agents to automate scheduling, cost control, and incident response.
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