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 Validation 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
You’ll be a great fit if you have...
- 3+ years experience with production-grade data pipelines
- Strong Python skills (OOP, optimization, data processing)
- Experience with distributed computing (Dask, Spark)
- Advanced SQL and query optimization skills
- Experience with DBT for transformations
- Understanding of ETL/ELT principles
- Knowledge of cloud platforms and data storage solutions
- Familiarity with CI/CD, Docker, and Kubernetes
Advantages:
- Experience with event-driven processing
- Knowledge of Dagster and testing frameworks
- Understanding of real-time architectures
- Familiarity with SOLID principles
0 applies
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