Senior AWS Data Lake DeveloperInterview: Video Visa: USC, GC, GC EAD, H4, L2 This is hybrid from Day-1 Description: MOTOR Information Systems, an operating group of Hearst, is actively seeking a Senior AWS Data Lake Developer. Ideally, a hands-on data engineer who possesses a strong passion for designing, optimizing, refactoring, and upgrading complex data solutions! MOTOR's primary product is Automotive Content, and we need someone who can help us design, develop and model Data Lakes within AWS.
We are looking for someone who wants to be part of our mission to transform the future. We have a rare opportunity for you to use your talent, passion, and expertise to help drive this massive change in how we build our user experience across our product lines, and how consumers experience the MOTOR Product Platform. This position offers excellent career growth and promotional opportunities, stellar compensation, and the ability to work with the world's premier provider of aftermarket automotive data.
Hearst/MOTOR Information Systems will be the best and last place you'll ever work!Required Experience (Must Have)Expert Python Developer (Minimum Two Years of Experience)Strong AWS Experience (Minimum Three Years of Experience) Demonstrated Data Lake Experience (with S3 as Storage)Expert Lambda DeveloperExpert in Fargate / ContainersExpert in Step Functions / State MachinesExpert in Cloud FormationExperience with Semi-Structured Data XML, CSV, ParquetExperience with Larger Data Pipelines (Multiple Terabytes)Experience with LinuxStrong Automation ExperienceHelpful Experience (Nice to Have)Experience with AWS Glue / SparkExperience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)Experience with Git and Azure DevOpsExperience with Relational DatabasesExperience with Neo4jExperience with Kettle and/or Apache HopExperience with Automotive Data / IndustryExperience with Agile / ScrumPrimary ResponsibilitiesAnalyze large, and complex, data setsDesign, develop and coordinate the generation of Data PipelinesModel complex data setsWork collaboratively with team to plan and solve complex problemsDesign for, or optimize existing pipelines, for performance