Lead Data Engineer

June 4, 2025 easyrewardz About EasyRewardz 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. Learn more: https://www.easyrewardz.com 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: CRM Marketing automation AI-powered segmentation Campaign orchestration Analytics 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 What We Offer Opportunity to shape the data strategy of one of India’s top Martech platforms Collaborative and innovation-focused work environment Flexible work hours and remote-friendly setup Attractive compensation and clear growth path Apply at: talentacquisition@easyrewardz.com Apply for this position Full Name * Email * Phone * Cover Letter * Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. * Share on Facebook Share on Twitter Share on LinkedIn Previous Next Show more Show less