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Principal Data Engineer – Databricks | Spark | Delta Lake | PySpark | Data Lakehouse | AWS/Azure Location: Toronto Work Model: Onsite (4 days/week) Key Requirements 12–18 years of overall Data Engineering experience.…
Build and maintain offline and real-time data warehouses for TikTok LIVE, processing hundreds of billions of records using big data tools like Spark, Hadoop, and Flink.
Maintain and optimize enterprise big-data platforms (Hadoop, Kafka, OpenSearch, AWS EMR) and troubleshoot production issues in a 24/7 environment.
Build scalable backend services in Java with Spring Boot, Hibernate, and Apache Camel, deploying on AWS/Google Cloud and using NoSQL databases like MongoDB.
Builds and maintains Java-based backend services using NoSQL databases and cloud platforms, with Spring Boot and Git workflows.
Develops and maintains large-scale Java applications and big-data pipelines for a global investment bank, using Spark, Flink, Kafka, and cloud platforms.
Build and optimize high-throughput Java microservices and data pipelines for an AI-driven ad-tech platform, using Spark, Kafka, and PostgreSQL.
Build and maintain large-scale Java banking applications using microservices, Kafka, and big data tools like Spark and Elasticsearch in a cloud environment.
Senior Full Stack Engineer (Remote) - Multiple roles Simple Machines is a leading independent boutique technology firm with a global presence, including teams in London, Sydney, San Francisco, and New Zealand. We…
Job Description: Involve with software and product development and ad hoc projects. Create well-architected and structured solutions. Software analysis, software design, code implementation, software. integration,…
About SHEIN SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from global network of vendors, all at affordable prices. Headquartered in Singapore, SHEIN remains…
Job Description: Participate in the development work related to the Marketplace data warehouse, including data collection in offline and real-time data warehouses, data public layer construction, data application layer…
Lead a small DevOps team maintaining hybrid cloud infrastructure for a fintech-focused data analytics platform used by governments to combat financial crime.
Designs and implements cloud-based data architectures (AWS, Azure, GCP) and real-time pipelines (Kafka, Snowflake, Databricks) to align client business goals with modern data solutions.
Designs and implements cloud-based data architectures (AWS/Azure/GCP) and pipelines to improve data integration, quality, and delivery for enterprise clients.
Build and optimize PySpark pipelines on Cloudera for large-scale banking data, enabling reliable ETL and analytics that power critical financial applications.
Design and maintain scalable data pipelines and infrastructure to support AI, ML, and analytics initiatives for a global fintech trading platform.
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 automate big-data infrastructure (HDFS, HBase, ElasticSearch, ClickHouse) and troubleshoot production issues for Xiaomi’s systems.
Maintains and automates big-data infrastructure (HDFS, HBase, ClickHouse, etc.) to keep systems reliable and performant, with on-call support.
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