Design, build, and maintain end-to-end data pipelines to ingest, process, and transform data from files, streams, APIs, and relational/non-relational databases into Snowflake. Develop and optimize ELT/ETL pipelines using Snowflake SQL, Snowpipe, Streams & Tasks, and cloud-native orchestration tools. Implement scalable data models and schemas (staging, curated, and consumption layers) to support analytics and reporting use cases. Develop transformations and business logic using SQL and Python, including Snowflake UDFs and stored procedures. Optimize Snowflake performance and cost through query tuning, warehouse sizing, clustering, and resource management. Integrate Snowflake with cloud storage and services across AWS and Azure (e.g., object storage, data integration, and mess
📌 Snowflake Data Engineer (Telangana)
🏢 RandomTrees
📍 Telangana
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