Everest Technologies, Inc

• Collaborate with clients to understand their data needs • Design and implement data pipelines using Snowflake • Build and maintain ETL/ELT processes • Optimize data storage and retrieval • Work with cross-functional teams to deliver data solutions

• Develop and implement Java applications • Collaborate with cross-functional teams on system design and architecture • Test and maintain software for performance and quality

• Design, develop, and maintain robust data transformation pipelines using dbt (Data Build Tool) to implement version-controlled, tested, and documented data models. • Architect, manage, and optimize enterprise-scale data warehouses within Snowflake, ensuring optimal storage, compute sizing, clustering, and data sharing strategies. • Build scalable ingestion pipelines to extract data from various enterprise source systems (such as ERPs like SAP or Oracle, CRM platforms, and operational databases) and load it into Snowflake. • Troubleshoot and fine-tune complex SQL queries, dbt models, and Snowflake warehouse utilization to improve execution speeds and manage costs efficiently. • Establish rigorous data quality checks, testing frameworks (using dbt test configurations), and data monitoring patterns to ensure enterprise data reliability and lineage accuracy. • Implement and maintain best practices for modern data stack workflows, utilizing Git and CI/CD pipelines (e.g., GitHub Actions, GitLab CI) for seamless deployment of data models.

• Design, code, test, and implement complex RICEFW objects supporting manufacturing operations • Collaborate closely with functional teams to enhance processes within SAP PP, MM, QM, and PM • Optimize and troubleshoot custom ABAP code to ensure high performance and zero disruption

• Design, code, and implement backend and frontend extensions within MAWM using the Manhattan ProActive framework • Develop and manage RESTful APIs and microservices to integrate MAWM with external enterprise systems • Collaborate with Solution Architects to translate business requirements into scalable, cloud-native technical designs • Perform unit testing, troubleshoot complex defects, and resolve critical technical issues • Participate in version control, code reviews, and automated deployment processes • Proactively identify opportunities for system optimization and performance tuning.

• 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

• 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

• 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

• 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

• 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.