Join our team as a Data Engineer, contributing to the design, development, and maintenance of advanced data solutions. You will play a crucial role in generating, collecting, and processing data, creating robust data pipelines, and ensuring exceptional data quality. This role involves implementing efficient ETL processes for seamless data migration and deployment across diverse systems, fostering collaboration to optimize data handling and meet organizational objectives.

Key responsibilities include independently performing tasks and becoming a subject matter expert. Active participation and contribution in team discussions are expected, alongside providing effective solutions to work-related challenges. Collaborate with cross-functional teams to understand data needs and deliver scalable data solutions. Monitor and troubleshoot data pipelines to ensure optimal reliability and performance. Document data processes and workflows meticulously to maintain clarity and facilitate knowledge sharing. Assist junior team members in grasping data engineering concepts and best practices.

Proficiency in Snowflake Data Warehouse is a must-have skill. The role requires experience in designing and optimizing data pipelines for large-scale data processing and a strong understanding of data integration techniques and ETL processes. Familiarity with cloud-based data storage and processing environments is essential. The ability to work with structured and unstructured data to ensure data quality and consistency is vital. A minimum of 3 years of experience in Snowflake Data Warehouse is mandatory. A 15-year full-time education is required.