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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.
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…
Build and optimize distributed data infrastructure for TikTok’s recommendation, search, and ads systems, focusing on real-time and offline storage, Lakehouse architectures, and ML feature pipelines.
Engineer and maintain a Cloudera Hadoop data platform, tuning clusters, securing services, and optimizing Spark/Hive/Impala workloads for a banking environment.
Designs and builds AWS-based data pipelines, warehouses, and lakes for analytics and AI use cases, working with SQL, NoSQL, ETL tools, and cloud services.
Software Engineering - MGR Location: OCBC China, Shenzhen Remote Type: Onsite Time Type: Full time Job Description WHO WE ARE: As Singapore’s longest established bank, we have been dedicated to enabling individuals and…
Senior AQA engineer builds and maintains automated tests in Java or Python for distributed, high-load systems, covering APIs, databases, and CI/CD pipelines.
Lead engineer building and scaling video metadata software in Java, designing ETL pipelines, optimizing databases, and mentoring engineers.
Designs and maintains large-scale data pipelines using Teradata, Oracle, Hadoop, Spark, Kafka, and DBT to process structured/unstructured data for analytics.
Lead the design and scaling of a security data platform that consolidates risk findings, ownership graphs, and posture metrics for Apple’s cloud services and infrastructure.
Build and maintain a data platform that ingests, processes, and serves programmatic advertising data using Java/Kotlin/C++, REST APIs, and cloud services.
Build and maintain large-scale data pipelines and analytics platforms using Hadoop, Spark, and related big-data tools to process and analyze massive datasets for enterprise clients.
Builds and maintains Java/Spring microservices on AWS for payment rails like Zelle and Paze, ensuring secure, scalable financial transactions.
Designs and leads enterprise-scale data/analytics platforms for a bank, integrating AI/ML, cloud-native tools, and regulatory-compliant architectures to enable real-time insights and predictive modeling (e.g., fraud detection, credit scoring).
Build and scale data pipelines, ML infrastructure, and distributed services to power ZipRecruiter’s job-matching platform using Python, Spark, Kafka, and Kubernetes.
Build and optimize large-scale data pipelines for Apple’s iCloud to ensure seamless, real-time data access across devices and apps using Spark, Hadoop, and distributed systems.
Designs and leads large-scale data lake and ODS solutions on Cloudera in AWS, defining best practices and reviewing architecture artefacts for a bank’s enterprise data platforms.
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