Lead Data Engineer

Job highlights

• Platform for intelligent and meaningful engagement with brands customers . Analytics engine to enable brands to engage in personalized conversations with consumers . SaaS-based customer experience management solution to provide a unified view of the consumer at the multichannel level . Why EasyRewardz?
• Experience Required: 4+ years

EasyRewardz is a leading customer experience management company. It provides end-to-end customer engagement solutions to 100+ brands across 3500+ retail offline stores . EasyRewardz has a presence across all key retail verticals Apparel, Fashion, Luxury, Food & Beverage, Travel and Entertainment, Wellness, and Banking .

Key capabilities of EasyRewardz s proprietary technology platform include:

• Customer loyalty program as an end-to-end solution
• Platform for intelligent and meaningful engagement with brands customers
• Analytics engine to enable brands to engage in personalized conversations with consumers
• SaaS-based customer experience management solution to provide a unified view of the consumer at the multichannel level

Why EasyRewardz?

Machine Learning , Personalization , Marketing Automation , Consumer Preferences these terms get real at EasyRewardz.

If you re looking for a career that allows you to innovate and think differently , EasyRewardz is the place!

We are a fast-growing organization , and our journey has been fantastic shaping young minds and driving retail excellence by influencing customer behavior.

Who are we seeking?

Like-minded individuals with an entrepreneurial mindset , a passion to learn and excel . We value Performance and Performers.

Job Title: Senior Data Engineer

Location: Gurgaon
Experience Required: 4+ years
Department: Data Engineering & Analytics
Reports To: ABC

About the Role

EasyRewardz is India s leading customer engagement and loyalty platform. Our ecosystem includes:

• Marketing automation
• AI-powered segmentation
• Campaign orchestration
• Omnichannel communication tools

We re looking for a Senior Data Engineer who can design, build, and optimize scalable data pipelines and platforms that power our product suite including Zence Marketing, Zence 360, and loyalty systems.

Key Responsibilities

• Architect, build, and maintain real-time and batch data pipelines using tools like Apache Spark, RisingWave, Redpanda, and ScyllaDB
• Collaborate with product managers, analysts, and developers to design systems that support business intelligence, behavioral analytics, and campaign automation
• Own and manage data ingestion from SDKs and third-party systems via webhooks and APIs
• Implement and maintain ETL/ELT pipelines across various customer touchpoints and engagement journeys
• Optimize queries and data storage using ScyllaDB, MySQL, and data lakes
• Ensure data quality, reliability, and governance through validation, monitoring, and alerting
• Work with DevOps to deploy scalable, fault-tolerant infrastructure in cloud or hybrid environments
• Mentor junior engineers and contribute to architecture and roadmap planning

Must-Have Skills

• Strong experience with Apache Spark, Kafka/Redpanda, RisingWave , or similar stream processing tools
• Proficient in Python or Scala for pipeline scripting and data transformation
• Deep understanding of data modeling , distributed databases ( ScyllaDB, Cassandra ), and performance optimization
• Experience with both SQL and NoSQL systems (e.g., MySQL, ScyllaDB)
• Familiarity with event-driven architecture and large-scale customer event data
• Solid grasp of data quality frameworks , testing, lineage, and governance
• Experience with marketing automation or CRM platforms is a strong plus

Good-to-Have Skills

• Working knowledge of n8n, Airflow , or other orchestration frameworks
• Understanding of SDK-based event capture and retry mechanisms