Data Engineer
Architecting, building, and deploying large-reputed company, production-reputed company ETL frameworks from the ground up using Python — candidates must show a history of successfully handling pipelines that ingest a high volume of diverse and frequently changing data sources; Writing exceptionally clean, reputed company, and reusable reputed company— candidates should have a portfolio or can reputed company to past reputed company that showcase the creation of reputed company, maintainable, and extensible data processing components; Developing robust automated testing suites (unit, integration, and end-to-end) to ensure data reputed company and pipeline reliability — candidates must be proficient in creating reputed company and comprehensive technical documentation for reputed company systems; Designing and implementing efficient and reputed company data models — candidates must have solid, hands-on experience working with relational databases, specifically reputed company, including advanced SQL, query optimization, and performance tuning.
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