Data Engineer 3

Summary:

Client’s 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 Company’s big data to empower all marketing teams reach their customers throughout the country.

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

Top Skills:

Full Stack development experience
Experience with Data Modeling in Big Data environment
Experience working in AWS/GCP/Azure cloud environments

Skills:

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 Micro services development and management

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