Data Engineer

As a Data Engineer specializing in Snowflake & SQL, you will play a crucial role in optimizing complex SQL queries and deploying Snowflake on cloud platforms like AWS, Azure, or GCP. Your responsibilities will include: - Strong expertise in writing and optimizing complex SQL queries - Proficiency in SELECT, WHERE, GROUP BY, JOIN operations - Knowledge in Aggregate functions and data roll-up/drill-down - Familiarity with Window functions like ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG - Experience with Stored Procedures and User-Defined Functions (UDFs) - Query performance optimization and troubleshooting - In-depth understanding of Snowflake Architecture - Data Modeling: Fact and Dimension table design - Ensuring Database Security & Access Control - Managing Metadata and governance in Snowflake - Utilizing advanced Snowflake features like Time Travel and Zero-Copy Cloning - Implementing Data Pipeline Automation using Snowpipe Qualifications required for this role include: - At least 4+ years of experience in Data Engineering - Strong proficiency in SQL from Basic to Advanced level - Hands-on experience with Snowflake Data Platform - Knowledge of deploying Snowflake on AWS, Azure, or GCP - Familiarity with Python scripting for data engineering tasks (Good-to-Have) - Understanding of Tableau reporting and integration with Snowflake (Good-to-Have) Join us and become a part of a rapidly growing data engineering team working on cutting-edge cloud data warehouse technologies. Contribute to building scalable, secure, and efficient data platforms while enhancing your skills in the field. As a Data Engineer specializing in Snowflake & SQL, you will play a crucial role in optimizing complex SQL queries and deploying Snowflake on cloud platforms like AWS, Azure, or GCP. Your responsibilities will include: - Strong expertise in writing and optimizing complex SQL queries - Proficiency in SELECT, WHERE, GROUP BY, JOIN operations - Knowledge in Aggregate functions and data roll-up/drill-down - Familiarity with Window functions like ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG - Experience with Stored Procedures and User-Defined Functions (UDFs) - Query performance optimization and troubleshooting - In-depth understanding of Snowflake Architecture - Data Modeling: Fact and Dimension table design - Ensuring Database Security & Access Control - Managing Metadata and governance in Snowflake - Utilizing advanced Snowflake features like Time Travel and Zero-Copy Cloning - Implementing Data Pipeline Automation using Snowpipe Qualifications required for this role include: - At least 4+ years of experience in Data Engineering - Strong proficiency in SQL from Basic to Advanced level - Hands-on experience with Snowflake Data Platform - Knowledge of deploying Snowflake on AWS, Azure, or GCP - Familiarity with Python scripting for data engineering tasks (Good-to-Have) - Understanding of Tableau reporting and integration with Snowflake (Good-to-Have) Join us and become a part of a rapidly growing data engineering team working on cutting-edge cloud data warehouse technologies. Contribute to building scalable, secure, and efficient data platforms while enhancing your skills in the field.