As a Data Engineer, you will design, develop, and maintain robust data solutions that streamline data generation, collection, and processing. Your role will focus on building efficient data pipelines, ensuring high data quality, and implementing effective ETL processes for seamless data migration and deployment across diverse systems. This position is key to enhancing the overall efficiency and reliability of our data operations.

We seek a candidate expected to work independently and grow into a subject matter expert. Active participation in team discussions and contributing to problem-solving are essential. Collaboration with cross-functional teams to understand data needs and deliver impactful solutions will be a core aspect of this role.

Design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes. Migrate and deploy data across various systems effectively. Monitor and optimize data pipelines for optimal performance and reliability. Collaborate with cross-functional teams to meet data requirements. Contribute to providing solutions for work-related challenges.

A minimum of 3 years of experience in AWS Analytics is required. Proficiency in AWS Analytics is a must. Experience with data warehousing solutions is beneficial. Strong understanding of ETL processes and data integration techniques is needed. Familiarity with data modeling and database design principles is expected. Experience with cloud-based data storage solutions is a plus. This role requires a 15-year full-time education. Minimum 3 years of experience is a prerequisite.