Data Engineer (Snowflake)

As a Data Engineer with 8-12 years of professional experience, including 7 years of hands-on experience in data engineering, you will be responsible for leveraging your expertise in Snowflake data warehouse platform. Your role will involve utilizing your proven, in-depth knowledge of Snowflake's architecture, features, and best practices to drive efficient data processing. Your mastery in SQL is crucial for this role, as you will be expected to demonstrate expert-level skills in data manipulation, complex query writing, and performance tuning. Additionally, your extensive experience with ETL/ELT tools and techniques will be essential for building scalable data pipelines that ensure smooth data flow. Proficiency in at least one scripting language, preferably Python, is required for data processing and automation tasks. Hands-on experience with a major cloud provider such as AWS, Azure, or GCP is necessary, particularly in services related to data storage (e.g., S3, ADLS) and computing. A solid understanding of data warehousing concepts, including Kimball and Inmon methodologies, is a key requirement for this role. Your expertise in data warehousing will contribute to the successful implementation of data solutions that align with business objectives. Overall, as a Data Engineer in this role, you will play a critical part in optimizing data infrastructure, implementing efficient data processing workflows, and ensuring high data quality standards are maintained throughout the data lifecycle.,