Data Engineer

Fetcherr, experts in deep learning, algo, e-commerce, and digitization, is disrupting traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

Fetcher is seeking a Data Engineer to develop automated validation systems for large-scale data pipelines. The ideal candidate is a skilled data engineer with strong analytical capabilities, able to develop statistical validation tests, build automated monitoring systems, and implement solutions that can operate reliably at large scale.

Key Responsibilities:

• Build and optimize ETL/ELT workflows for analytics, ML models, and real-time systems
• Implement data transformation using DBT, SQL, and Python
• Work with distributed computing frameworks to process large-scale data
• Ensure data integrity and quality across all pipelines
• Optimize query performance in cloud-based data warehouses
• Automate data processes using orchestration tools
• Monitor and troubleshoot pipeline systems