Full Stack Engineer Data Engineer - 1926217 - Join a Market Leader

Data Products Full Stack Engineer - 12 Months Contract

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

Schedule: Hybrid (4 day office, 1 day WFH)

Position Summary

Clients 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 the company'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

Bachelors 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 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

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

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