Snowflake Administrator

Snowflake Admin

• Snowflake Admin • Snowflake, Medallion architecture, Data platforms, ETL / ELT, Talend or similar tools • Monitoring & Troubleshooting: Query history, load errors, resource usage • ETL & Data Integration: Snowpipe, COPY, Streams & Tasks • Automation: SQL scripting, task scheduling • Compliance: Data access auditing, best practices enforcement • Strong communication, stakeholder management, and presentation skills. • Excellent analytical and problem-solving abilities. • Comfortable working in fast-paced, mission critical environments. Qualifications • Bachelor’s or master’s degrees in Computer Science, Information Technology, Engineering, or related field. Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity; sexual orientation, religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. • Administered and supported enterprise Snowflake environments across development, QA, and production • Designed and enforced RBAC security models, reducing unauthorized data access risks • Configure and maintain Talend Administration Center (TAC) / Management Console • Optimized warehouse configurations and auto suspend policies, achieving 30–40% cost reduction • Monitored query performance and identified long running or inefficient queries using QUERY_HISTORY • Implemented Streams and Tasks for incremental data processing • Configured and maintained Snowpipe for near real time data ingestion • Supported data engineers and analysts with issue resolution and performance troubleshooting • Managed data sharing with internal and external consumers securely • Support backup, recovery, and DR strategies