Data Engineer

Overview

At Loyalty Juggernaut, we’re on a mission to revolutionize customer loyalty through AI-driven SaaS solutions. We are THE JUGGERNAUTS, driving innovation and impact in the loyalty ecosystem with GRAVTY®, our SaaS Product that empowers multinational enterprises to build deeper customer connections. Designed for scalability and personalization, GRAVTY® delivers cutting-edge loyalty solutions that transform customer engagement across diverse industries including Airlines, Airport, Retail, Hospitality, Banking, F&B, Telecom, Insurance and Ecosystem.

Our Impact

• 400+ million members connected through our platform.
• Trusted by 100+ global brands/partners, driving loyalty and brand devotion worldwide.
  
  

Proud to be a Three-Time Champion for Best Technology Innovation in Loyalty!!

Explore more about us at www.lji.io.

What You Will OWN

• Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS ‘big data’ technologies.
• Create and maintain optimal data pipeline architecture.
• Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Work with stakeholders, including the Technical Architects, Developers, Product Owners, and Executives, to assist with data-related technical issues and support their data infrastructure needs.
• Create tools for data management and data analytics that can assist them in building and optimizing our product to become an innovative industry leader.
  
  

• Have 2 to 5 years of relevant backend development experience, with solid expertise in Python.
• Possess strong skills in Data Structures and Algorithms, and can write optimized, maintainable code.
• Are familiar with database systems, and can comfortably work with PostgreSQL, as well as NoSQL solutions like MongoDB or DynamoDB.
• Hands-on experience using Cloud Dataware houses like AWS Redshift, GBQ, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift, and AWS Batch would be an added advantage.
• Have a solid understanding of ETL processes and tools and can build or modify ETL pipelines effectively.
• Have experience managing or building data pipelines and architectures at scale.
• Understand the nuances of data ingestion, transformation, storage, and analytics workflows.
• Communicate clearly and work collaboratively across engineering, product.
  
  

• This opportunity offers a dynamic and supportive work environment where you'll have the chance to not just collaborate with talented technocrats but also work with globally recognized brands, gain exposure, and carve your own career path.
• You will get to innovate and dabble in the future of technology -Enterprise Cloud Computing, Blockchain, Machine Learning, AI, Mobile, Digital Wallets, and much more.
  
  

Skills:- ETL, ETL architecture, Python and Data engineering