Snowflake Data Engineer

Only for candidates who do not require sponsorship. Position Overview We are seeking a skilled Data Engineer with over 5 years of hands‑on experience in building, optimizing, and maintaining scalable data pipelines and data infrastructure. The ideal candidate should be comfortable working in a fast‑paced, high‑ownership environment and capable of making informed decisions while proactively identifying gaps and asking the right questions. Key Responsibilities Design, develop, and maintain robust and scalable data pipeline. Work extensively with modern data stack tools including Snowflake, dbt, Python, and SQL. Build and optimize data models to support analytics and business intelligence use case. Ensure data quality, integrity, and reliability across system. Collaborate closely with analytics, product, and business teams to understand data requirement. Troubleshoot data issues and implement efficient solutions in a timely manner. Continuously improve data architecture and workflows for performance and scalability. Required Skills & Qualifications 5+ years of experience in Data Engineering or a related field. Strong proficiency in Snowflake, dbt, Python, and SQL. Solid understanding of data warehousing concepts and ETL/ELT processes. Experience working with large datasets and optimizing query performance. Ability to thrive in a fast‑paced environment with minimal supervision. Strong problem‑solving skills and a proactive mindset. Excellent communication skills, with the ability to ask the right questions and clarify requirement. #J-18808-Ljbffr