Data Engineer

Job highlights

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

• . Proficient in working with SQL and NoSQL systems (e.g.,MySQL,ScyllaDB) and cloud-native storage solutions

• Experience Required: 4+ years . Department: Data Engineering & Analytics

• Experience with

  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