React Full Stack Engineer (# 7083)

Position Details: Title: Full Stack React Engineer Location: Ridgefield Park, NJ 07660 (Englewood Cliffs, NJ) (Hybrid – 4 days/week onsite) Duration: 12 Months Contract (Possible extension) Job Description: Data Engineer 3 (Full Stack Engineer, Data Products) Top Skills / Manager Notes: Job Title: UI Developer / Full Stack React Engineer Project: In-house Data Application – UI Enhancements for Data Products Role Overview: We are looking for an experienced UI Developer or Full Stack React Engineer to contribute to our in-house data application project. The ideal candidate should have strong UI skills and experience working with data products, product managers, and application rearchitecture. This role involves 50% UI development and 50% data-related work. Top 3 Skills: React, Node.js, NPM/NVM, PostgresSQL/MYSQL Key Responsibilities: Develop and enhance UI components for data-driven applications. Work closely with product managers to understand and implement user requirements. Re-architect existing applications for improved performance and scalability. Collaborate with backend engineers to integrate data with UI components. Required Skills & Experience: For Full Stack React Engineer: Proficiency in React, Node.js, and relational databases (PostgreSQL, RDBMS, NoSQL). Experience with NPM, NVM, Redis, and/or bitmap index databases like FeatureBase. full stack – Min expectation (7/10 on UI | 7/10 on Backend) - Tech stack: NPM, NVM, React, Relational database like Postgres, NoSQL, Redis and/or bitmap index database like FeatureBase For React UI Developer: Strong UI development skills with React, NPM, NVM, and relational databases. UI developer (9/10 on UI) – UI skills: NPM, NVM, React and relation databases General Requirements: Experience working with product managers and cross-functional teams. Strong problem-solving and communication skills. Prior experience re-architecting applications is a plus. GitHub repository link required for code samples or project work. Interview Process: Three rounds of interviews focusing on problem-solving and communication skills. Position Summary Client Bigdata team is looking to hire a Full Stack Engineer who will lead the engineering roadmap of their cutting edge inhouse marketing SaaS solution. This solution harnesses the power of Client’s 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 Responsibilities Design, 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 quality Collaborate with product managers, data engineers, data analysts, and marketing tech vendors to prioritize engineering deadlines and deliverables Work with data engineers and data scientists to design and deploy complex data models, fueling the application Deploy applications on cloud infrastructure, ensuring scalability, performance, and security Integrate application with inhouse bigdata system and third-party marketing systems using APIs and other solutions Write clean, efficient, and reusable code and contribute to existing documentation and adapt content based on product/program updates and user feedback Stay updated on emerging web application and data modeling technologies and integrate with the product where applicable Work with product managers, data scientists, and engineers to understand business goals and data science and marketing tech stack of the company Core Qualifications: Curious, ownership, and outcome mindset with the ability to pivot as per business requirements Bachelor’s degree in Computer Science, Engineering, or related field. 3-5 years of experience in engineering both client and server software Experience with Data Modeling in Big Data environments and have worked on massive structured/unstructured datasets before You 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/Kanban Experience developing products for marketing and sales teams in omnichannel organizations, small or large. Technical skill requirements: Browser programming using JavaScript, jQuery, ReactJS, Angular or Vue. ReactJS preferred. Server programming using NodeJS, Python, PHP, ASP. NodeJS Preferred. Database programming using SQL, SQLite, Hive/Hadoop, or MongoDB Proficient in a Linux scripting or a scripting language Experienced in APIs and Micro services development and management Proficient in object-oriented language – Python/Scala preferred Expert in one of the following stacks and comfortable exploring others MERN stack: JavaScript - MongoDB - Express - ReactJS - Node.js (Preferred) MEAN stack: JavaScript - MongoDB - Express - AngularJS - Node.js Django stack: JavaScript - Python - Django – MySQL Ruby on Rails: JavaScript - Ruby - SQLite – Rails  Experienced in using Big Data stack (Hadoop, Hive, Spark, Kafka, Airflow/OOZIE, BigQuery/Presto/Impala etc.)  Expert in networking concepts and security protocols  Solid understanding of containerized platforms (Docker, Kubernetes)  Experience doing software development in cloud services, such as GCP, AWS, Azure ecosystem  Experience using GIT, JIRA, and Confluence tools Top Skills: Technical: Reach, Node, Postgres, Bitmap Summary: The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization s data assets. Job Responsibilities: Design, construct, install, test and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices. Design, implement, automate and maintain large scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models and proof of concepts. Skills: Ability to work as part of a team, as well as work independently or with minimal direction. Excellent written, presentation, and verbal communication skills. Collaborate with data architects, modelers and IT team members on project goals. Strong PC skills including knowledge of Microsoft SharePoint. Education/Experience: Bachelor's degree in a technical field such as computer science, computer engineering or related field required. 5-7 years of experience required. Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.