Everest Technologies, Inc
51 - 200 employees
Founded 1997
🤝 B2B
☁️ SaaS
B2B • IT Services • SaaS
Everest Technologies, Inc. is a technology solutions provider that focuses on addressing business challenges through innovative IT services. The company specializes in managed services, project solutions, and staff augmentation, helping organizations improve their engineering capabilities and enhance their operational efficiency. Everest Technologies leverages advanced methodologies in DevOps, quality engineering, and cloud enablement, offering a wide range of application services to drive technology transformations across various industries.
Senior Data Engineer
Job not on LinkedIn
🕒 June 3
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Everest Technologies, Inc
51 - 200 employees
Founded 1997
🤝 B2B
☁️ SaaS
B2B • IT Services • SaaS
Everest Technologies, Inc. is a technology solutions provider that focuses on addressing business challenges through innovative IT services. The company specializes in managed services, project solutions, and staff augmentation, helping organizations improve their engineering capabilities and enhance their operational efficiency. Everest Technologies leverages advanced methodologies in DevOps, quality engineering, and cloud enablement, offering a wide range of application services to drive technology transformations across various industries.
📋 Description
• Design and optimize data schemas for LLM consumption • Build robust data pipelines using Python and C#/.NET • Implement and maintain Vector Databases to support Retrieval-Augmented Generation • Work with Gravitee API Gateway to enforce data masking and access control • Manage the OpenAPI and MCP metadata for AI agents
🎯 Requirements
• 5+ years of experience • Expert-level Python (Pandas, PySpark, SQLAlchemy) • Strong familiarity with C# for interacting with .NET-based data layers • Hands-on experience with Vector Databases and embedding models • Understanding of data exposure through Gravitee APIM • Experience with SQL/NoSQL databases, dbt, and cloud data warehouses (Snowflake, BigQuery, or Databricks) • Familiarity with the Model Context Protocol (MCP)
🏖️ Benefits
• Professional development opportunities
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