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Analyzes logistics delivery data for Coupang’s Taiwan operations, building KPIs, reports, and simulations using SQL, big-data tools, and visualization software to drive operational decisions.
Designs and maintains scalable data pipelines, ETL processes, and warehouses to collect, process, and analyze large volumes of structured/unstructured data for mission-critical systems in defence and government sectors.
DevOps engineer builds and maintains CI/CD pipelines, automates data pipelines, and manages hybrid DWH infrastructure using Kubernetes, Terraform, and Arenadata tools for a bank’s data warehouse.
Senior Data Engineer builds and maintains scalable data infrastructure for analytics on a SaaS platform, using AWS services, Spark, and data warehousing tools.
Обязанности: Сформировать дорожную карту ML‑инициатив для трейдинга и смежных функций (ценообразование, прогнозы спроса/предложения, оптимизация логистики, риск‑метрики); Разрабатывать end-to-end LLM-приложения : от…
Build and maintain cloud data pipelines and BI reports for EY’s global consulting teams using Azure, Databricks, Snowflake, and Python/SQL.
Build and optimize cloud data pipelines using Azure/AWS/GCP tools, then surface insights with BI platforms like Power BI or Tableau.
Build and maintain scalable data pipelines and warehouses using Python, SQL, Spark, and cloud tools to ensure clean, accessible data for analytics and AI services.
Build data-driven insights and ML models to improve property search and user experience at Australia’s leading real-estate platform.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze-Silver-Gold layers.
Build and maintain enterprise full-stack apps in Java and Angular, integrating REST APIs, Spark pipelines, and Elasticsearch for data-heavy streaming and analytics projects.
Lead a team to build and maintain data products and analytics infrastructure for B2B marketing analytics, using Python, Spark, Snowflake, and cloud platforms to enable data-driven decisions.
Build and maintain Shopee’s big-data infrastructure, including storage, batch/real-time compute, and OLAP engines, to power analytics and reporting for business teams.
Build and maintain secure software systems for a Singaporean intelligence agency, using languages like Java/Python and big-data tools to support intelligence assessments and national security.
Build and optimize large-scale data pipelines using Apache Spark and Scala/Python to power financial IT systems, ensuring scalability and reliability for cross-country operations.
Analyze and improve Similarweb’s digital intelligence platform by processing large datasets, validating data sources, and refining ML algorithms with Python, SQL, and big-data tools.
Data Scientist builds ML models and data pipelines to turn military intelligence data into actionable insights for Air Force Special Operations Command using Python, R, Spark, and cloud platforms.
Build and scale Quantexa’s Contextual Decision Intelligence platform in Scala, processing vast datasets to detect fraud and financial crime using distributed microservices and event-driven architectures.
Designs and builds scalable GCP data pipelines and architectures, focusing on security, compliance, and ELT workflows to turn raw data into business insights.
Lead a team to design, build, and optimize data pipelines and infrastructure for a large bank, using Hadoop, Spark, Kafka, and AWS services to process and monetize financial data.
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