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Real-Time Data Pipeline Architect - Databricks & BI
Designs and builds real-time data pipelines in Databricks to feed BI dashboards, using Delta Lake and PySpark/Scala/SQL.
Backend Engineer(고객여정플랫폼)
Builds and owns the end-to-end customer-journey pipeline: mobile SDK → Kafka → Databricks Bronze, plus event servers, auth middleware, A/B testing and MMP attribution for a Korean securities app.
SGunited Jobs Data & AI Platform Engineer
Build and maintain AI-powered document parsing pipelines using OCR, VLM, and RAG to extract, index, and retrieve structured data from PDFs, images, and videos for GenAI applications.
Data & AI Platform Engineer-
Build and maintain AI-powered document parsing pipelines, OCR/VLM systems, and RAG knowledge bases on Azure to extract and structure data from PDFs, images, and videos for GenAI applications.
Data Analytics Engineering Lead
Lead the design and build of enterprise-scale data platforms using Snowflake, Azure Synapse, Databricks, and Python to enable analytics and AI/ML initiatives.
Data Engineer Graduate (TikTok Recommendation Ecosystem Architecture) - 2027 Start (PhD)
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.
Data Engineer: Databricks, Delta Lake & Real-Time Pipelines
Build and maintain scalable data pipelines using Databricks, Spark, PySpark, and Delta Lake to power analytics and reporting for a global fashion brand.
Senior Data Engineer — Databricks/PySpark (1-Year Contract)
Design and maintain production data pipelines using PySpark and Databricks, optimize Spark jobs, and collaborate with cross-functional teams.
Data Engineer (Azure Databricks)
Build and maintain Azure Databricks pipelines and Delta Lake tables, integrate with ADLS Gen2, and optimize ETL/ELT workflows for scalable data solutions.
Databricks Data Engineer
Build and optimize scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud services to power enterprise analytics and AI workloads.
Senior Data Engineering
Senior data engineer builds and maintains Databricks-based data warehouse and real-time pipelines for a financial trading business, modeling trades, positions, and market data.
Senior Data Engineer Python | Hadoop | AI | Big Data
Build and maintain large-scale data pipelines and AI-ready platforms for a banking client using Python, Hadoop, Spark, and cloud tech to support ML, GenAI, and analytics.
First VP, Senior Data Engineer, Group Technology & Ops
Lead the design and build of enterprise-scale data platforms and AI-ready data assets for a major bank, using Spark, Kafka, Iceberg, and cloud-native tools.
Data Engineer
Build and maintain scalable data pipelines, ETL processes, and data models using Python, Spark, SQL, and cloud services to support analytics and reporting.
Backend Developer
Build and maintain backend services and APIs for payment and reconciliation platforms using Java/Kotlin, Spring Boot/Quarkus, and cloud-native tooling.
Backend Developer
Build and maintain backend services and APIs for payment and reconciliation platforms using Java/Kotlin, Spring Boot/Quarkus, and cloud tools like AWS/Azure.
Database Software Engineer
Build core components of a cloud-native streaming database in Rust, focusing on connectors, CDC, and real-time data pipelines for systems like Kafka and PostgreSQL.
Data Engineer (PH)
Build and maintain scalable data pipelines on AWS and Databricks, focusing on ETL, real-time processing with Spark/Kafka, and data quality for a fintech/crypto company.
Middle Software Engineer (Java/C++) — Query Engine / Data Platform
Middle Software Engineer builds and optimizes a distributed SQL query engine for a large-scale data lakehouse platform, using Java/C++ and cloud-native tools to process analytical workloads across heterogeneous data sources.
Data Engineer (Databricks)
Builds and maintains data pipelines and warehouses using Databricks, SQL, and Python/Scala to enable analytics and reporting.