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

• Analysis, Design, implementation, and maintenance pipelines that produce business-critical data reliably and efficiently using cloud technologies. • Develop new ETLs (Extract, Transform, Load), using the current Apache Airflow . • Propose new initiatives to improve performance, scalability, reliability, and overall robustness. • Collect, process, and clean data from different sources using Python & SQL. • Work side by side with the main Architects and Developers to create and ensure best practices and guidelines are being used properly by all projects. • Assess and communicate effectively the effort for required developments. • Discover new data sources to improve new and existing data pipelines. • Be in charge of building and maintaining data pipelines and data models for new and existing projects. • Maintain detailed documentation of your work and changes to support data quality and governance. • Provide feedback and expert points of view as needed to help all data initiatives in the company. • Improve the quality of existing and new data processes (ETL), incorporating statistical process control, and creating alerts when anomalies are received from data sources at every step of the pipeline. • Create benchmark control of execution times for every pipeline, to control and identify potential availability issues.

• 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