This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a skilled Snowflake Platform Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. - Environment: Snowflake Data Cloud, Snowflake Architecture & Optimization, SQL, Data Warehousing, Cloud Platforms (AWS / Azure / GCP), Data Security & Governance, Role-Based Access Control (RBAC), Performance Tuning, Cost Optimization, Data Sharing, ETL/ELT Pipelines, CI/CD for Data, Python, Linux, Git, Agile methodologies. - We work only with direct clients. - If you are already on H-1B and are open to an H-1B transfer, feel free to apply. - Strictly no C2C/1099/3rd party companies. All our roles are W2 and no 3rd party brokering please. - A coding test is required, so apply only if you are confident and technically strong. - We prefer at least 3 to 5 years of real-time experience. Qualifications - OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people looking for H1B sponsorship for the year 2027 quota. Requirements - At least 3 to 5 years of real-time experience. - Strong technical skills and confidence in coding. Benefits - Career growth potential in an established and well-respected organization. Company Description Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge cloud data platform technologies to design scalable, secure, and high-performance analytics environments.

• Implement a functional SSAS environment. • Building and re-designing a set of reports that need to transition to an analysis services environment. • Work with our customer’s technical team to identify initial requirements. • Apply tabular, relational, and multidimensional data modeling methodologies. • Transform raw data into meaningful business decisions and pre-aggregate data for optimal results. • Document logical and physical data models. • Document and update reporting environment data model. • Develop new reports based on customer requirements

• Build and own the Azure data platforms for client accounts, SQL Server, Databricks, pipelines end to end • Design maintainable data models and challenge unclear requirements • Simplify complex data problems for clients and teams • Focus on client impact and meaningful contributions

• Design and implement scalable data architecture and end-to-end ETL/ELT pipelines • Analyze diverse data sources and create high-quality, structured data layers • Lead large-scale data migrations to cloud-based platforms (Azure, AWS, GCP) • Optimize complex SQL queries and database performance • Collaborate with analysts, data scientists, and business stakeholders • Ensure data governance, quality, and regulatory compliance • Mentor junior engineers and promote engineering best practices