Data Engineer

About LJI

Loyalty Juggernaut (LJI) is a leading B2B SaaS company redefining how enterprises drive customer engagement and loyalty. Our flagship platform, GRAVTY®, enables global brands to transform loyalty programs into  measurable, revenue-generating growth engines.

Built as an AI-first, next-generation solution, GRAVTY® empowers organizations to deliver highly personalized, real-time experiences at scale—helping them increase customer lifetime value and deepen brand relationships.

Headquartered in Palo Alto, California, LJI partners with leading enterprises across 16 major industries including airlines, retail, hospitality, financial services and telecommunications powering some of the most innovative loyalty ecosystems worldwide.

Our Global Impact:

• 400+ Million members connected through our platform.


• 100+ Global Brands trust us to drive loyalty and brand devotion.


• 3-Time Winner of “Best Technology Innovation in Loyalty”.


• Global recognitions for Excellence in Loyalty Management under numerous categories.


• Recognised as a ‘Strong performer’ in The Forrester Wave™ Loyalty Platforms, Q4 2025.

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.

You would make a GREAT FIT if you have:

• 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.

Why Choose US?

• 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.