Mueller Water Products - Atlanta, GA
posted 2 months ago
We are seeking an AWS-Data Engineer with strong experience across the entire Cloud Data stack. The ideal candidate should have extensive experience in data pipelines (ELT/ETL), data warehousing and dimensional modeling, and curation of data sets for Data Scientists and Business Intelligence users. Experience in building Data Lake is essential. This candidate should also have excellent problem-solving ability dealing with large volumes of data and various data sources. This position will be located at Mueller's Headquarters in Atlanta (Sandy Springs area) and will report to the Director of Enterprise Data Engineering. The AWS Data Engineer will be responsible for designing, building, and operating the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud migration tools, and ‘big data' technologies. The role involves optimizing various RDBMS engines in the cloud and solving customers' security, performance, and operational problems. The engineer will also design, build, and operate large, complex data lakes that meet functional and non-functional business requirements. In addition, the engineer will optimize various data types of ingestion, storage, processing, and retrieval from near real-time events, IoT, to unstructured data such as images, audio, video, and documents. Collaboration with customers and internal stakeholders, including the Executive, Product, Data, Software Development, and Design teams, is crucial to assist with data-related technical issues and support their data infrastructure and business needs. Furthermore, the engineer will understand and develop AI/ML models using AWS AI/ML services (e.g., Sage Maker, Rekognition, Comprehend) and collaborate with data scientists and engineers to implement machine learning solutions.