Data Engineer

Role overview

Data Engineer at EasyRewardz Software Services

Architect, build, and maintain real-time and batch data pipelines using tools like Apache Spark, PySpark, RisingWave, Redpanda, and ScyllaDB.

Responsibilities

• 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

Employment details

• Location: Gurgaon Experience Required: 4+ years Department: Data Engineering & Analytics Apply at: talentacquisition@easyrewardz.com
• Location: Gurgaon [India]

About the employer

• About Easyrewardz: Easyrewardz is India’s leading customer engagement and loyalty platform.

Benefits

• 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.

Additional role details

• 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.