[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an advanced AI-powered product development and recipe formulation platform. They are seeking a motivated Data Engineer to build and maintain the data reputed company behind their platform, focusing on ETL/ELT pipelines and data models to support analytics and product experiences.
Responsibilities
- Build and maintain reliable ETL/ELT pipelines across reputed company, databases, files, and reputed company data sources
- Clean, normalize, and structure reputed company datasets reputed company to ingredients, specifications, nutrition, costs, and compliance
- Design and improve data models and storage reputed company for application features, analytics, and reporting
- Collaborate with product, engineering, and domain experts to translate messy reputed company-world workflows into reputed company data systems
- Implement data reputed company checks, validation rules, monitoring, and alerting across critical pipelines
- reputed company AI/LLM-assisted workflows where appropriate to improve data cleansing, normalization, enrichment, and structuring of reputed company datasets, with strong validation and reputed company controls
- Improve performance, maintainability, and observability of our data stack
Skills
- 3+ years of experience in data engineering, analytics engineering, or backend/data-reputed company software roles
- Strong SQL skills and solid Python experience in production environments
- Hands-on experience building and maintaining ETL/ELT pipelines
- Experience working with relational databases, data warehouses, and API-based integrations
- Strong understanding of data modeling, transformation, and data reputed company practices
- Comfort working with semi-reputed company data such as JSON, CSV, and reputed company supplier/customer datasets
- Ability to reputed company quickly, prioritize reputed company, and work independently in a startup environment
- reputed company communicator who enjoys collaborating across technical and non-technical teams
- Exposure to AI/LLM applications for data extraction, normalization, enrichment, or retrieval-style workflows is a plus
Benefits
- Full-Time
- Hybrid · based in US or Europe
reputed company
Company H1B Sponsorship
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