Senior Software Engineer, Data
Flex- Full Time
- Senior (5 to 8 years)
Candidates must possess a Bachelor’s degree in Computer Science or a related field, or equivalent experience. A minimum of 5 years of experience in data engineering or a related role within a tech environment is required. Proficiency in data technologies such as SQL and DBT, as well as programming in Python, is necessary. Familiarity with cloud-based data warehousing tools like Google BigQuery, Airflow, and experience in working with cross-functional teams are essential. Strong problem-solving skills and attention to detail are also required.
The Senior Data Engineer will design, develop, and optimize ETL pipelines using tools like Airflow, ensuring data reliability and efficiency. They will implement and maintain data models in DBT, develop transformation workflows for scalable data warehousing, and work within cloud data warehouses to ensure optimized data storage. Collaboration with data analysts and product teams to understand data requirements and translate them into technical solutions is crucial. The role also involves implementing monitoring tools for data quality, documenting data processes, and promoting best practices in data engineering.
Manages repair and maintenance operations for businesses
ResQ offers a platform for managing repair and maintenance operations tailored for multi-location businesses like restaurants and retail chains. Users can create work orders by categorizing issues or scanning QR codes, which are then approved by the appropriate personnel. The platform connects businesses with a marketplace of vetted vendors and provides real-time data to help reduce repair costs and improve efficiency. ResQ's goal is to streamline maintenance processes and enhance decision-making, distinguishing itself with a comprehensive view of operations.