Job Description: Responsibilities: Specify, design, and build cloud-based data pipeline, transformation, warehousing, BI, analytics, and decision-support solutions and components. Engineer and take ownership of complex data transformation, cleansing, imputation, and other preparation for downstream analytics, Machine Learning, and visualization use cases. Engage closely with business stakeholders to deeply understand business problems and tease out potential solutions to meet business needs. Collaborate with Data Science and development teams to provide data architecture guidance and contribute to construction of data- and science-rich solutions. Must Have Skills / Requirements: Strong Python and SQL knowledge. 5+ years' hands-on experience as a data engineer, data/software architect, or advanced BI analyst; Expert-level competency in Big Data manipulation and transformation, both within and outside of a database. Strong work ethic, collaboration, and communication skills. 4+ Years of experience with written and verbal communication with stakeholders in past roles. Some familiarity with cloud architecture. 2+ years of experience within AWS, Azure, or Google cloud environments. Nice to Have Skills / Preferred Requirements: Experience in cloud computing and architecture. Competency in API creation, and Machine Learning model deployment. Eagerness to learn both the technology and business of Warner Media. DataBricks, SnowFlake, or AirFlow experience. Pizzazz! Unique and exciting education, career, and life experience to expand the intellectual and cultural variety of our team. ptitude and desire to work with and mentor junior tech talent. Experience building effective, efficient solutions in AWS, using Terraform and/or CloudFormation to build infrastructure as code. Education, training, and certifications in engineering, computer science, math, statistics, analytics, or cloud computing. Soft Skills: Strong work ethic, collaboration, and communication skills. Education / Certifications: None. Cynet Systems
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