We are seeking an experienced and talented Data Engineer to join our growing team. As a Data Engineer, you will be responsible for designing, implementing, and optimizing data solutions leveraging Snowflake. The ideal candidate should have a deep understanding of data engineering principles, expertise in Snowflake architecture, and a passion for building scalable and efficient data pipelines. Responsibilities : Design and implement scalable data architectures using Snowflake, ensuring optimal performance, reliability, and scalability. Work to define best practices for data modeling, storage, and processing within the Snowflake environment. Develop, implement, and maintain robust ETL processes using Snowflake's native features and tools in collaboration with integration developers using an IPAAS like SnapLogic. Collaborate with data consumers to understand data requirements, ensure the availability of high-quality, well-organized data, and deliver effective solutions. Optimize and tune Snowflake data warehouses to achieve optimal query performance and resource utilization. Design and implement effective data models that align with business requirements and industry best practices. Ensure data models are optimized for Snowflake's unique capabilities, such as automatic clustering and metadata indexing. Implement and enforce data security measures in accordance with industry standards and organizational policies. Develop and maintain automated processes for data pipeline orchestration, monitoring, and alerting. Proactively identify and address performance bottlenecks and data inconsistencies. Create and maintain comprehensive documentation for data engineering processes, workflows, and Snowflake configurations. Qualifications : Bachelor's degree in computer science, Information Technology, or a related field. Proven experience as a Data Engineer with a focus on Snowflake. Strong SQL proficiency and expertise in designing and optimizing complex queries. In-depth knowledge of Snowflake architecture, features, and best practices. Experience with scripting languages (Python or equivalent) for automation and data manipulation. Familiarity with data warehousing concepts, cloud computing, and distributed systems. Preferred Skills : Snowflake certifications (e.g., SnowPro Core, SnowPro Advanced). Experience with other cloud platforms (AWS, Azure, GCP). Familiarity with data versioning and lineage tracking.