Big Data Software Engineer: Java, Spark & Kafka

Redolent Infotech Pvt. Ltd.; San Mateo (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Redolent Infotech Pvt. Ltd. in San Mateo, CA, seeks a Big Data Software Engineer focusing on Java, Spark and Kafka. You will lead the design and development of Catalog and Search components, handling storage, large-scale data processing, APIs and analytics.

The role requires strong Java backend experience, familiarity with Hadoop/Spark ecosystems, and cloud deployments. Collaboration across teams in a fast-paced Agile environment is essential.

Qualifications

• 1-5 years of solid Java back-end experience.
• Strong knowledge of design patterns, OOPS principles and data structures.
• Experience with Hibernate, Spring, REST, XML, JSON, ActiveMQ, Kafka.
• Experience with Big Data tools: Cassandra, Hadoop, Spark, Beam, Kafka, Cloud.
• Experience with Gradle, Maven, Jenkins, Git, IntelliJ, Eclipse, Docker.
• Relational DBs, queries and RDBMS best practices.
• Strong troubleshooting and performance tuning skills.
• Agile development in Cloud/SaaS environments.
• Project lead experience is a plus.

Responsibilities

• Lead design and development of Product Catalog and Search components.
• Handle storage, search, data processing (stream and batch), APIs, analytics and services.
• Build and own the infrastructure for cloud/SaaS deployments.
• Collaborate effectively across teams and roles.
• Continuously improve performance and reliability of data pipelines.

Skills

Java

Design patterns

OOP

Hibernate

Spring

REST

XML/JSON

ActiveMQ

Kafka

Big Data

Spark

Hadoop

Cloud

AWS

Google Cloud

Docker

CI/CD

SQL

Education

BS/MS in Computer Science

Tools

Gradle

Maven

Jenkins

Git

IntelliJ

Eclipse

Docker

Job description

Redolent Infotech Pvt. Ltd. in San Mateo, CA, seeks a Big Data Software Engineer focusing on Java, Spark and Kafka. You will lead the design and development of Catalog and Search components, handling storage, large-scale data processing, APIs and analytics.

The role requires strong Java backend experience, familiarity with Hadoop/Spark ecosystems, and cloud deployments. Collaboration across teams in a fast-paced Agile environment is essential.