Data Engineer

Then we want to hear from you! In this position, apply your skills in software engineering, cloud-based analytics platforms, and working with business partners to grow our comprehensive analytics data ecosystem. 3+ years of experience working with cloud data platforms like Redshift, Databricks, and Snowflake (Snowflake Preferred). More than one year of background working with Cloud Technologies (AWS preferred). Proficiency in Python and SQL. Background in data warehousing, data quality, and monitoring. Experience building scalable data pipelines and ETL processes. Experience working in a DevOps environment. Experience in managing data streams (KAFKA preferred). Experience integrating AI solutions into new and existing technologies to improve efficiency, streamline operations, and elevate the consumer experience. Bachelor's degree or master's degree or equivalent experience in computer science, Information Systems, or a related field. Experience integrating with third-party APIs. Experience with data pipeline orchestration tools such as Airflow. Familiarity with an Agile workflow environment. Build highly scalable, reliable, and performant pipelines. These pipelines consume, integrate, and analyze large volumes of complex data using various proprietary and open-source platforms and tools. Collaborate with engineers, producers, business partners, and analysts to elicit, translate, and prescribe requirements for their needs. Stay ahead of the technology curve and make recommendations about technologies to build current and future products. Support the progression of technology solutions from conception through release and into live operations. Implement processes, procedures, and documentation standards to ensure compliance with internal Technology and Corporate IT regulations.