About Easyrewardz:
Easyrewardz is India’s leading customer engagement and loyalty platform. Our ecosystem includes CRM, marketing automation, AI-powered segmentation, campaign orchestration, analytics, and omnichannel communication tools to deliver personalized experiences across the customer lifecycle.
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, PySpark, RisingWave, Redpanda, and ScyllaDB.
- Develop and maintain data transformation and integration workflows using Python and Airflow.
- Design and orchestrate reliable ETL/ELT pipelines that ingest data from SDKs, APIs, webhooks, and third-party systems.
- Collaborate with product, analytics, and engineering teams to build scalable data solutions that support BI, customer analytics, and marketing automation.
- Optimize query performance and data storage using systems like ScyllaDB, MySQL, and cloud-native data lakes.
- Ensure high standards of data quality, validation, and lineage through monitoring and alerting frameworks.
- Work closely with DevOps to deploy resilient, cloud-native infrastructure to support scalable data systems.
- Mentor junior engineers and participate in the development of the team’s technical strategy and roadmap
Must-Have Skills:
- Programming & Scripting:
- Strong proficiency in Python, including PySpark for distributed data processing.
- Experience building scalable ETL/ELT workflows using Apache Airflow or similar orchestration tools.
- Stream & Batch Processing:
- Hands-on expertise with real-time data platforms such as Apache Spark, Kafka/Redpanda, RisingWave, or equivalent streaming solutions.
- Deep understanding of event-driven architecture and handling large-scale customer event data.
- Data Engineering & Modeling:
- Skilled in data modeling, working with distributed databases like ScyllaDB and Cassandra, and optimizing for performance and scalability.
- Proficient in working with SQL and NoSQL systems (e.g., MySQL, ScyllaDB) and cloud-native storage solutions.
- Data Quality & Governance:
- Strong grasp of data quality frameworks, automated testing, lineage, and data governance best practices.
Good-to-Have Skills:
- Experience with marketing automation platforms or CRM systems (e.g., Braze, Salesforce, HubSpot).
- Familiarity with modern data tools like dbt, Snowflake, or Databricks.
- Working knowledge of n8n 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 work environment with a focus on innovation.
- Flexible work hours and remote-friendly setup.
- Attractive compensation and growth path.
Location: Gurgaon
Experience Required: 4+ years
Department: Data Engineering & Analytics
Apply at: talentacquisition@easyrewardz.com