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Data Engineer

Data Engineer
New Millenium Consulting
remote
7 months ago

Job Details

Title: Data Engineer / DeveloperLocation: Ridgefield Park, NJ (Fri – Remote)Hourly: $70 per hour (W2)Duration: 1 year (Contract-to-Hire)

Requirements

  • Git URL(Required)
  • Minimum 5 years of experience with Data Modeling in Big Data environment and have worked on massive structured/unstructured datasets before
  • Big Data stack (Hadoop, Hive, Spark, Kafka, Airflow/OOZIE, BigQuery/Presto/Impala etc.)
  • Minimum 5 years of Full Stack expertise 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
    • LAMP stack: JavaScript - Linux - Apache - MySQL – PHP
    • LEMP stack: JavaScript - Linux - Nginx - MySQL – PHP
    • Django stack: JavaScript - Python - Django – MySQL
    • Ruby on Rails: JavaScript - Ruby - SQLite – Rails
  • Experience working in AWS/GCP/Azure cloud environments
  • Server programming using NodeJS, Python, PHP, ASP
  • Database programming using SQL, SQLite, Hive/Hadoop, or MongoDB
  • Experienced in APIs and Micro services development and management
  • Proficient in object-oriented language – Python/Scala preferred
  • Expert in networking concepts and security protocols
  • Solid understanding of containerized platforms (Docker, Kubernetes)
  • Experience using GIT, JIRA, and Confluence tools

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 in-house big data 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
  • 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 Omni-channel organizations, small or large

Expertise level

Work arrangement

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