What are the responsibilities and job description for the Full Stack Engineer position at ektello?
Full Stack Engineer, Data Products
85 Challenger Rd., Ridgefield Park, NJ, USA-Hybrid (4 day office, 1 day home)
Top Skills - full stack - tech stack, NPM, NVM, React, Relational database like postgres, NoSQL, Redis and/or bitmap index database like featurebase
Strong UI skills NPM, NVM, React and relation databases
Position Summary
Our 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 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
o MERN stack: JavaScript - MongoDB - Express - ReactJS - Node.js (Preferred)
o MEAN stack: JavaScript - MongoDB - Express - AngularJS - Node.js
o Django stack: JavaScript - Python - Django – MySQL
o 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
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