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 . Valuable-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

📌 Data Engineer (Gurugram)
🏢 Easyrewardz Software Services
📍 Gurugram