Role Description Candidates MUST BE located in USA due to client's technical requirements. - Remote position - Must-Haves: Full fluency in English language. - Full Time Remote position - Hours: 9am to 3pm PST Mon-Fri - MUST BE AVAILABLE PACIFIC TIME ZONE - This position is expected to end towards the end of June, with potential extension as per client's needs Responsibilities - Data Evaluation & Annotation: Label and categorize text and images, ensuring accuracy and quality - Platform Management: Work within the client’s universal language platform to manage and evaluate language-based data - Trend Analysis: Track and assess data, identifying insights to enhance project quality - Quality Assurance: Ensure accuracy by proofreading and maintaining high-quality outputs - Process Improvement: Provide insights and recommendations to improve data relevance and performance - Adaptability & Collaboration: Work in a fast-paced environment with shifting priorities while maintaining communication with your team Qualifications - Fluency in English – Must have full professional proficiency in both written and spoken communication - Strong analytical skills – Ability to evaluate data logically and provide sound reasoning - Attention to detail – A sharp eye for spotting inconsistencies and ensuring high data accuracy - Time management skills – Ability to manage multiple tasks efficiently - Critical thinking & problem-solving – Ability to make data-driven decisions - Tech-savvy mindset – Comfortable navigating platforms and tools - Adaptability & teamwork – Willingness to collaborate and adjust to changing project needs Requirements - Work Authorization: Must have valid authorization to work in the U.S. - Background Check: Required for this role - Equipment: Must have a personal laptop or computer Benefits - 401(k) - Paid time off - Fully Remote Company Description Join Volga Partners, a dynamic U.S.-based company at the forefront of Artificial Intelligence (AI) and Machine Learning (ML), proudly partnering with leading technology giants and global multinational corporations. Why Join Us? - Fully remote role – Work from the comfort of your home - Entry to mid-level opportunity – Gain hands-on experience in data evaluation and AI - Flexible training hours – Get the support you need to succeed - This current opening is for full time. - Work with cutting-edge technology – Contribute to improving AI and language models

• Analyze existing Oracle schemas, tables, views, stored procedures, functions, indexes, and related database objects • Support the migration of database structures and data from Oracle to Azure SQL • Identify compatibility gaps between Oracle and Azure SQL and propose remediation approaches • Convert or refactor Oracle SQL, PL/SQL, stored procedures, functions, and views into Azure SQL-compatible equivalents • Support source-to-target mapping, data profiling, and migration analysis • Perform data validation, reconciliation, and quality checks between Oracle and Azure SQL • Optimize migrated database objects for performance, scalability, and maintainability • Collaborate with ETL / ADF engineers to ensure pipelines align with the target data model • Document migration findings, conversion decisions, validation results, and technical recommendations • Support testing, defect resolution, production migration, and post-migration stabilization activities • Troubleshoot performance, compatibility, and data quality issues throughout the migration lifecycle

• Analyze existing Boomi integrations, workflows, mappings, transformations, schedules, and dependencies. • Design and develop equivalent data pipelines in Azure Data Factory. • Rebuild data ingestion, transformation, orchestration, and data movement processes from Boomi into ADF. • Connect ADF pipelines to source and target systems, including Oracle, Azure SQL, files, APIs, and other relevant systems. • Implement pipeline scheduling, parameterization, monitoring, alerting, retry logic, and error handling. • Collaborate with database migration engineers to ensure pipelines align with migrated Azure SQL data structures. • Support source-to-target mapping, data transformation logic, and technical documentation. • Perform pipeline testing, data validation, and defect resolution. • Optimize ADF pipelines for reliability, performance, and maintainability. • Support deployment, production cutover, and post-migration stabilization activities.

• Contribute to structuring and evolving Data Lake environments, ensuring data scalability and governance; • Design and build modern, modular data warehouses prepared for growth and high performance; • Develop data schemas and resilient architectures, following data engineering best practices; • Define and evolve data architecture, ensuring reliable, scalable, and well-structured environments; • Perform exploratory data analysis and support the development of predictive models; • Participate in building data-driven recommendation engines and processes; • Support business squads with structured, reliable, production-ready data that delivers value; • Act as a technical reference, mentoring and developing more junior professionals; • Collaborate actively with the team to solve complex problems and turn data into actionable decisions.