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Data Engineer (Remote)
Designs, builds, and maintains large-scale data pipelines and warehouses to turn raw data into actionable insights for defense and national security programs using Python, SQL, cloud platforms, and ETL/ELT frameworks.
QA Manager - Logistics - FY27
Lead QA teams for Takealot’s logistics systems, designing test strategies, mentoring engineers, and driving automation to ensure flawless online retail operations.
Senior Fullstack Software Engineer, DX
Senior full-stack engineer building backend-heavy features with Ruby on Rails, REST APIs, and React/TailwindCSS UIs in a distributed Atlassian environment.
Senior/Staff Data Engineer - Bidding (Bangkok based, relocation provided)
Build and scale machine learning systems for travel booking platforms, focusing on bidding models and fraud detection using Python, Scala, Spark, and Hadoop at a global online travel agency.
Data Scientist, Market Growth (Lifecycle)
Build and optimize ML models for crypto marketing: predict user behavior, forecast LTV, and allocate ad spend to drive growth on Binance’s exchange platform.
Senior Data Engineer: Big Data, Streaming & DBT Specialist
Designs and maintains large-scale data pipelines using Teradata, Oracle, Hadoop, Spark, Kafka, and DBT to process structured/unstructured data for analytics.
Staff Data Engineer (Coupang Pay)
Designs and builds large-scale data infrastructure for Coupang Pay’s fintech payment services, using distributed systems like Spark, Flink, and cloud platforms to process millions of daily transactions.
Staff Data Engineer
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.
Full Stack Engineer (Application Software)
Build mission-critical software for SpaceX’s launch vehicles, Starlink, and manufacturing systems using full-stack development with Python, Go, React, and Kubernetes.
Senior Big Data Engineer & Platform Specialist
Designs and builds large-scale data pipelines and platforms using Kafka, Spark, Scala, Hadoop, and Cloudera to process and analyze high-volume datasets.
Big Data Engineer
Designs and maintains large-scale data pipelines and platforms using Kafka, Spark, Scala, and Hadoop to process high-volume datasets for enterprise clients.
Manager-AI and Data Risk Management
Technical Manager - AI & Data Risk Management - Financial Services Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into…
Data Engineering Specialist
Build and maintain a Python/PySpark-based data pipeline engine on AWS and Azure, automate CI/CD with GitHub Actions, and develop AI agents for configuration and troubleshooting in a global healthcare biopharma company.
Senior Data Engineer
Design and build scalable data pipelines and warehousing for AI infrastructure, using tools like Dagster, dbt, Snowflake, and Tinybird to support analytics and ML workloads.
Senior Manager, Data Science
Leads advanced data-science projects to build and deploy ML models that optimize Walmart’s supply-chain strategy, using Python/SQL and collaborating with cross-functional teams to translate data into business impact.
Software Developer
Develops ultra-reliable C++ software for Amadeus’s mission-critical airline passenger system (used by 125+ airlines), ensuring 24x7 availability and resilience against failures. Works with Unix, Oracle, MongoDB, and collaborates cross-functionally on large-scale systems.
Senior Cloud Data Engineer
Senior Cloud Data Engineer builds and operates modern cloud-based data pipelines and analytics platforms using Python, Spark, SQL, and cloud services like Azure/AWS to process large-scale data for AI and analytics use cases.
Cloud Data Platform Expert - Azure/Databricks
Design and build scalable cloud data platforms on Azure/Databricks, integrating real-time and batch pipelines for large, diverse datasets while mentoring teams and advising clients.
Senior Cloud Engineer DataAI
Senior Cloud Data Engineer builds and operates modern data pipelines and cloud analytics platforms using Python, Spark, SQL, and cloud stacks like Azure/AWS/Databricks to process large, diverse datasets for enterprise customers.