Full stack developer (SQL/NoSQL/Bigquery)

Full Stack Engineer)Ridgefield Park, NJ OR Dallas TX OR San Francisco, CA (Hybrid - Manager is open to candidates located in Seattle, Bay Area, Dallas and NY)12 months contract

Job Description:Position Summary:Client BigData team is looking to hire a Full Stack Engineer who will build and own the engineering roadmap of their cutting edge inhouse marketing SaaS solution. This solution harnesses the power of Client bigdata to empower all marketing teams reach their customers throughout the country.At this stage, this role is pivotal as we are taking this solution to the next level and positioning it as core product for everything marketing – audience segmentation, statistical testing, data governance, data distribution, revenue optimization and much more. If you an Engineer with entrepreneurial mindset who is comfortable working in ambiguous environment and take ownership and pride in building kickass data products, come work with us.Job ResponsibilitiesDesign, develop, test, deploy, maintain and enhance our desktop-based data web applications from front-end to back-end.Triage product and system issues and debug/resolve by analyzing the source of issues and impact on service operations and qualityCollaborate with product managers, data engineers, data analysts, and marketing tech vendors to prioritize engineering deadlines and deliverablesWork with data engineers and data scientists to design and deploy complex data models, fueling the applicationDeploy applications on cloud infrastructure, ensuring scalability, performance, and securityIntegrate application with inhouse bigdata system and third-party marketing systems using APIs and other solutionsWrite clean, efficient, and reusable code and contribute to existing documentation and adapt content based on product/program updates and user feedbackStay updated on emerging web application and data modeling technologies and integrate with the product where applicableWork with product managers, data scientists, and engineers to understand business goals and data science and marketing tech stack of the companyCore Qualifications:Curious, ownership, and outcome mindset with the ability to pivot as per business requirementsBachelor’s degree in Computer Science, Engineering, or related field.5+ years of experience in engineering both client and server software5+ years of experience with Data Modeling in Big Data environments and have worked on massive structured/unstructured datasets beforeYou have interest to grow your knowledge in the area of Data Science and willing to lend a hand in “Machine Learning” application development when required.Comfortable with Agile Principles/Scrum/KanbanExperience developing products for marketing and sales teams in omnichannel organizations, small or large.Technical skill requirements:Browser programming using JavaScript, jQuery, ReactJS, Angular or VueServer programming using NodeJS, Python, PHP, ASPDatabase programming using SQL, SQLite, Hive/Hadoop, or MongoDBProficient in a Linux scripting or a scripting languageExperienced in APIs and Micro services development and managementProficient in object-oriented language – Python/Scala preferredExpert in one of the following stacks and comfortable exploring othersMERN stack: JavaScript - MongoDB - Express - ReactJS - Node.js (Preferred)MEAN stack: JavaScript - MongoDB - Express - AngularJS - Node.jsLAMP stack: JavaScript - Linux - Apache - MySQL – PHPLEMP stack: JavaScript - Linux - Nginx - MySQL – PHPDjango stack: JavaScript - Python - Django – MySQLRuby on Rails: JavaScript - Ruby - SQLite – RailsExperienced in using Big Data stack (Hadoop, Hive, Spark, Kafka, Airflow/OOZIE, BigQuery/Presto/Impala etc.)Expert in networking concepts and security protocolsSolid understanding of containerized platforms (Docker, Kubernetes)Experience doing software development in cloud services, such as GCP, AWS, Azure ecosystemExperience using GIT, JIRA, and Confluence toolsTop skills:Full Stack development experienceExperience with Data Modellling in Big Data environmentExperience working in AWS/GCP/Azure cloud environments