Everest Technologies, Inc

Data Engineer

• Design, develop, and maintain scalable cloud-based data pipelines using Snowflake and modern ELT tools.
• Build and manage data ingestion pipelines using Fivetran, Airbyte, or similar integration platforms.
• Develop modular, reusable, and well-documented data transformation models using dbt (Data Build Tool).
• Design and optimize dimensional data models (Star Schema and Snowflake Schema) for analytics and reporting.
• Develop incremental data loading strategies and Change Data Capture (CDC) processes.
• Optimize Snowflake performance through clustering, partitioning, query tuning, and warehouse optimization.
• Implement data quality checks, validation rules, and monitoring to ensure data accuracy and reliability.
• Collaborate with business analysts, data architects, and stakeholders to translate business requirements into technical solutions.
• Integrate data from ERP, CRM, eCommerce, finance, and third-party SaaS applications.
• Troubleshoot pipeline failures, resolve performance bottlenecks, and support production environments.
• Implement CI/CD processes for dbt projects and data pipelines.
• Create and maintain technical documentation, data lineage, and metadata.

Data Engineer – Snowflake, DBT

• Support enterprise AI and Generative AI initiatives by building scalable, secure, and AI-ready data platforms.
• Partner with Data Engineers, AI Engineers, Data Scientists, and business stakeholders to develop high-quality data pipelines.
• Enable Retrieval-Augmented Generation (RAG) solutions and prepare enterprise data for AI-powered applications.
• Design, develop, and maintain scalable data pipelines using Azure Databricks, Snowflake, and Azure Data Factory.
• Build ELT/ETL pipelines to ingest data from ERP, CRM, manufacturing, supply chain, and other enterprise applications.
• Develop AI-ready datasets that support machine learning and Generative AI use cases.
• Integrate structured, semi-structured, and unstructured data into centralized data platforms.
• Collaborate with AI Engineers to expose enterprise data securely to LLM-powered applications.
• Optimize data models, transformations, and query performance for analytics and AI workloads.
• Implement data quality, governance, lineage, monitoring, and security best practices.
• Build reusable data transformation frameworks using Python, SQL, Spark, and dbt (if applicable).
• Develop REST API integrations to support AI services and enterprise applications.
• Participate in architecture discussions, code reviews, CI/CD implementations, and Agile ceremonies.
• Support production deployments, monitoring, troubleshooting, and performance tuning.

Data Engineer – AI

Support Engineer

• Provide L2/L3 support for SnapLogic integrations and data pipelines
• Monitor integration jobs, scheduled tasks, and production interfaces
• Investigate and resolve integration failures, data issues, and performance bottlenecks
• Perform root cause analysis (RCA) and implement corrective actions
• Support API integrations, REST/SOA services, and file-based interfaces
• Troubleshoot data transformation, mapping, and routing issues
• Work closely with business users, application teams, and external vendors to resolve incidents
• Support deployment activities and post-release validations
• Monitor error queues, logs, and alerts to ensure integration stability
• Create and maintain support documentation, knowledge articles, and operational runbooks
• Participate in on-call support and production issue management

Snaplogic Support Engineer

• 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

Senior Data Engineer

Business Intelligence Analyst

• Collaborate with supply chain business teams to identify and document needs
• Design, build, test, and deploy complex reports using SCI tools
• Create unified reporting solutions using various data environments
• Act as a subject matter expert to help train and mentor internal teams

Supply Chain Intelligence – Reporting Analyst, Developer

Software Engineer

• Design and build custom MCP servers using C# and .NET
• Use Gravitee to turn standard REST APIs into AI-ready tools
• Implement MCP Authentication to ensure security for AI agents
• Configure Gravitee's native MCP Server application types
• Monitor agent-to-API communications and ensure reliability of workflows

Senior C# Developer

QA Engineer

• Validate and test data integrations, APIs, database processes, and enterprise application interfaces
• Ensure data accuracy, integration reliability, and end-to-end quality across interconnected business systems
• Design, develop, and execute test cases for database and integration testing
• Validate data flow between enterprise applications, databases, APIs, and third-party systems
• Perform backend testing using SQL queries and database validation techniques
• Verify data transformations, mappings, and reconciliation between source and target systems
• Test REST/SOAP APIs and integration services
• Analyze and troubleshoot data discrepancies, integration failures, and system defects
• Participate in system, integration, regression, and user acceptance testing activities
• Create test plans, test scenarios, test scripts, and defect reports
• Work closely with developers, integration engineers, business analysts, and stakeholders
• Support release validation and post-deployment testing activities
• Ensure compliance with quality standards and testing best practices.