Join our team as a Data Engineer, focusing on designing, developing, and maintaining robust data solutions for generation, collection, and processing. This role involves creating efficient data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration and deployment across systems.

You'll collaborate with cross-functional teams to understand business requirements and deliver effective data solutions. Troubleshooting data flow and processing issues will also be a key part of your responsibilities, ensuring the integrity and performance of our data infrastructure.

Design, develop, and maintain data solutions for data generation, collection, and processing. Create and optimize data pipelines for enhanced performance and efficiency. Ensure data quality and implement ETL processes for data migration and deployment. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Troubleshoot data flow and processing issues. Contribute to team discussions and provide solutions to work-related challenges.

A minimum of 3 years of experience in Data Engineering is required, with a strong focus on Snowflake Data Warehouse. Proficiency in designing, developing, and maintaining data pipelines and ETL processes is essential. Experience with Snowflake Data Warehouse is a mandatory requirement. Familiarity with Amazon Web Services (AWS) is considered a plus. A foundational understanding of data modeling and database design principles is expected.