Data Products Full Stack Engineer

4 weeks ago

Ridgefield Park, United States Intelliswift Full time
Job ID: 24-00830
Pay rate range - $70/hr. to $72/hr. on W2
Schedule: Hybrid (4 day office, 1 day WFH)

Top skills:
1. Full Stack development experience
2. Experience with Data modeling in Big Data environment
3. Experience working in AWS/GCP/Azure cloud environments

Position Summary
BigData team is looking to hire a Full Stack Engineer who will build and own the engineering roadmap of their cutting-edge in-house marketing SaaS solution.
This solution harnesses the power of big data 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 the core product for everything marketing - audience segmentation, statistical testing, data governance, data distribution, revenue optimization, and much more.
If you are an Engineer with an entrepreneurial mindset who is comfortable working in ambiguous environments and takes 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 the application with in-house bigdata system and third-party marketing systems using APIs and other solutions
•Write clean, efficient, and reusable code contribute to existing documentation, and adapt content based on product/program updates and user feedback
•Stay updated on emerging web applications 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.
•5+ years of experience in engineering both client and server software
•5+ years of experience with Data Modeling in Big Data environments and have worked on massive structured/unstructured datasets before
•You have an interest in growing your knowledge in the area of Data Science and are 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
•Server programming using NodeJS, Python, PHP, ASP
•Database programming using SQL, SQLite, Hive/Hadoop, or MongoDB
•Proficient in a Linux scripting or a scripting language
•Experienced in APIs and Microservices 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 LAMP stack: JavaScript - Linux - Apache - MySQL - PHP
o LEMP stack: JavaScript - Linux - Nginx - MySQL - PHP
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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