Data Analyst

Job Description

Job Description SDE (Spatial Data Engineering) AF (Analytics Foundation) team is looking for a Sr Data Analyst who will design and implement data solutions that help derive meaningful insights while optimizing all SDLC processes along the way. They will take data from Analytics Lakehouse as input, work on a variety of transformation model, build visualization-based solutions for customers. The job includes all parts of software development lifecycle: refining product vision, gathering requirements, software system design, coding, testing, release and support. As our team is spread around the globe, you will work collaboratively with other team members from different locations. Your daily activities will comprise of one or more of the following tasks: Tackle interesting and challenging problems of large-scale data transformations, analysis, cleansing and enrichmentImplement tools to enhance both automated and semi-automated map data processing, involving backend/service-based software stack and front-end visualization components for big data analysisApply and extend CI/CD tools and execute end-2-end ownership of your developed software, including DevOps and TestingWork closely with other full stack and frontend engineers on the team to de/-refine APIs and system integrations Work with other engineering teams and internal customers to identify new opportunities, address critical needs and solve complex problems using your backend development expertise.Become an expert at leveraging internal platform resources and APIsWorking in the AWS cloud computing environment. Candidate Background Bachelor’s degree in Computer Science or a related field (or equivalent work experience) 6+ years of software development experience writing Production level code. You are proficient in SQL, Data Analysis, Python scriptingExperience in working with Cloud Computing Services like AWSExperience in working with BI tools like TableauProficiency in working with Relational Databases and have understanding of SQL Query Execution Plans and SQL Performance Optimization techniques. Exposure to NoSQL DatabasesExposure to working with SOAP/ REST Web ServicesWorking knowledge of Continuous Integration (CI) and Continuous Deployment of code and at least one of its associated toolkits like Jenkins/ GIT/ GerritFlexibility to work across time zones in a global team environment Skills: jenkins,aws,data,ci,git,software,tableau,sql query execution plans,soap/ rest web services,other,nosql databases,gerrit,cloud computing,analytics,code,cloud,sql,sql performance optimization,continuous integration,python scripting,continuous deployment,cloud computing services,relational databases,bi tools,data analysis