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Build and optimize data pipelines and analytics models using SQL, Python, PySpark, and Cloudera; create reports with Tableau and support production systems.
Build and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data warehouses using SQL, Python, and AWS/GCP tools to support analytics and backend services.
Build and maintain cloud-native data pipelines and dimensional models on Snowflake and AWS to modernize an enterprise data warehouse.
Designs and optimizes cloud data pipelines on AWS and Databricks for ETL and ML workloads while ensuring data governance and security.
Builds and optimizes data pipelines and real-time systems for a major bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Build and maintain data warehouses and optimize real-time data pipelines for OKX’s risk control systems, enabling data-driven decision-making.
Builds data pipelines, models, and AI solutions to power TikTok’s monetization systems, including dashboards and BI tools for business growth.
Designs and builds scalable cloud ETL pipelines and data warehouses for ecommerce clients, leading end-to-end data lifecycle and cloud migrations.
Builds and optimizes data pipelines, warehouses, and ETL processes using Python, SQL, Hadoop, and NoSQL to deliver analytics and insights for cross-functional teams.
Builds and maintains data pipelines, ETL workflows, and reporting dashboards for clients using Python, PySpark, SQL, and tools like Tableau and Cloudera.
Build and maintain ETL pipelines, ensure data quality, and collaborate with teams to deliver reliable data products for TikTok's ad platform.
Build and maintain AWS-based data pipelines and warehouses using Glue, Redshift, and S3, with CI/CD and IaC for scalable ETL/ELT workflows.
Build and maintain OKX’s risk-control data warehouse, design real-time/offline pipelines, and deliver metrics/indicators to support trading-platform risk decisions using cloud and big-data stacks.
Build and maintain data pipelines and infrastructure for AI models that optimize Singapore’s transport network, using Python, SQL, Spark, Kafka, and cloud platforms.
Build and optimize a global payment data warehouse, pipelines, and AI apps (LLM agents, RAG, analytics) for ByteDance’s fintech business.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
We are looking for an experienced Data Engineer (Cloud) to join our growing team. The ideal candidate should have hands-on expertise in designing and developing cloud-based data solutions using AWS, Databricks, Python,…
Builds and optimizes Shopee’s e-commerce data warehouse and real-time analytics systems using big data tools (Spark, Flink, Kafka) and SQL, while exploring AI-driven data solutions.
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, focusing on healthcare data pipelines and ETL/ELT workflows.
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