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Build and maintain large-scale data warehouses and pipelines for TikTok’s PGC business, processing billions of records to power analytics and dashboards.
Build and maintain large-scale data warehouses and pipelines for TikTok LIVE, processing billions of records daily using SQL, Python, and big-data tools like Spark and Kafka.
Owns and stabilizes Hadoop and Kafka-based big data pipelines for a 24x7 banking platform, ensuring security, SLAs, and performance across streaming and analytics services.
Maintain and optimize enterprise big-data platforms (Hadoop, Kafka, OpenSearch, AWS EMR) and ensure high availability for production workloads.
TikTok Pte. Ltd. is seeking graduates to join the PGC Data BP team and help build data warehouses supporting batch and streaming workloads. You will process hundreds of billions of user records daily and contribute to…
Responsibilities The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming…
Data Warehouse Engineer (Global Live) - TikTok Location: Employment Type: Regular Job Code: A88745A Share this listing: Responsibilities Design and build data transformations efficiently and reliably for different…
Designs and builds scalable ETL pipelines and data transformations using Hadoop, Spark, Hive, and Presto to power reporting and analytics for a global platform.
POSITION OVERVIEW : EDW/EBP Batch Monitoring POSITION GENERAL DUTIES AND TASKS : Skillset - Up to 4 years of IT experience - Proven analytical abilities with solid experience in a Production Supportsetting. - Strong…
Build and optimize data pipelines and architectures using AWS, SQL, and big data tools to support analytics and product teams.
Lead big-data engineering projects for financial-services clients, designing Hadoop-based pipelines, cleaning messy data, and delivering actionable insights using Java/Python and ETL tools.
Lead data engineering teams to build and migrate data lakes, warehouses, and lakehouses using PySpark, Python, and cloud platforms like AWS/Azure/GCP.
Build and migrate data pipelines for a banking client, rewriting SQL/Hive/Impala scripts to move legacy reports and datasets into new enterprise data marts.
Build and optimize large-scale data ingestion pipelines for real-time data, using Java/Scala/Python/Go and technologies like Kafka, Flink, and Hadoop to support global products.
Job description： Lead the design, development, and evolution of the company’s overseas data warehouse and data platform across mobile device, IoT, and app data domains Architect and implement scalable data processing…
Designs and maintains ETL pipelines to ingest, clean, and warehouse large-scale data for Sea’s finance team, enabling accurate reporting and analysis across Garena, Shopee, and Monee.
Key Responsibilities Design, develop, and maintain enterprise-scale ETL/ELT solutions on the Teradata Enterprise Data Warehouse (EDW) platform. Develop and optimize complex Teradata SQL, BTEQ, and shell-script…
Build and maintain scalable data pipelines and infrastructure to support TikTok’s global e-commerce risk-control platform, ensuring data integrity for fraud detection and business strategy.
Build and deploy generative-AI features and agents using Python, LLMs, and cloud services; develop full-stack web apps with Django/Flask and CI/CD pipelines.
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