Easyrewardz - Senior Data Engineer - Spark

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Gurugram, Haryana, India

Information Technology

Full-Time

Easyrewardz Software Services

Overview

About Easyrewardz

Easyrewardz is Indias 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.

Were 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 teams 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 Indias 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

(ref:hirist.tech)

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