Snowflake Data Engineer

Below is the job description. Exp 4-6 Years: Key Responsibilities: Act as a liaison between client teams, source system owners, and application users. Understand business requirements and translate them into technical data models and pipelines. Design and develop scalable ETL/ELT workflows using PySpark, SQL, and Python. Work extensively with Snowflake for data modeling, data warehousing, and query optimization. Integrate data from various AWS sources (e.g., S3, Glue) into Snowflake. Ensure data quality, reliability, and performance of data pipelines. Document processes and provide support for existing data systems. Required Skills: Strong hands-on experience with Snowflake (Data Modeling, Performance Tuning, Snowpipe, Streams & Tasks). Proficiency in SQL for complex querying and optimization. Good working knowledge of AWS services related to data engineering. Experience with PySpark and Python scripting for ETL development. Excellent communication skills for interacting with client stakeholders and teams.