4-6 years of expertise in designing and implementing scalable Snowflake data warehouse solutions, including schema design, performance tuning, and query optimization. • Extensive experience in developing data ingestion and transformation pipelines using Talend to process both structured and unstructured data from diverse source systems. • Proficient in integrating data from on-premises and cloud-based platforms into Snowflake using Talend and native Snowflake capabilities. • Hands-on experience with dimensional and relational data modeling techniques to support analytics, reporting, and business intelligence requirements. • Strong understanding of Snowflake performance optimization, including clustering strategies, caching mechanisms, query profiling, and workload management. • Experience implementing robust data quality, validation, cleansing, and governance frameworks within ETL/ELT processes. • Proficient in SQL and Shell scripting for developing custom transformations, automation, and operational support activities. • Ability to collaborate with business and technical stakeholders to design, develop, and maintain scalable data solutions that meet enterprise data requirements.Role: Data Engineer,Industry Type: IT Services & Consulting,Department: Engineering - Software & QA,Employment Type: Full Time, PermanentRole Category: Software DevelopmentEducationUG: Any Graduate
