Senior Java Developer

SG Analytics; Chennai District; Hybrid; INR 1,500,000 - 4,000,000; Full time

Job summary

SG Analytics in India (Chennai area) seeks an experienced software engineer focused on Core Java and Big Data. You will architect and optimize high-throughput data pipelines using Spark, tune JVM performance, and deploy resilient microservices with Docker, Kubernetes, and OpenShift.

You will implement backend services with Spring Boot, Spring Data, and Spring Batch, and work with PostgreSQL/Oracle and MongoDB. Mentoring and CI/CD ownership are expected in a collaborative, data-driven environment.

Qualifications

• 7 to 10 years of software engineering experience with Core Java and Big Data.
• Proven Spark experience for large-scale data transformation.
• Production experience with Spring ecosystem and data tooling.
• Hands-on Docker/Kubernetes/OpenShift and CI/CD pipelines.
• Strong SQL (PostgreSQL/Oracle) and NoSQL (MongoDB).
• Solid foundation in data structures, algorithms, SOLID, and TDD.

Responsibilities

• Architect, build, and optimize high-throughput data pipelines with Apache Spark and Java.
• Tune JVM GC and optimize Spark job execution for large workloads.
• Design and deploy containerized microservices using Docker, Kubernetes, and OpenShift.
• Implement backend services with Spring Boot, Spring Data, and Spring Batch.
• Model and optimize relational and NoSQL databases.
• Drive engineering best practices with automated test suites (JUnit, Mockito) under TDD/DDD.
• Lead CI/CD processes with Maven/Gradle, Jenkins, and Git; mentor junior engineers.

Skills

Core Java

Spark

JVM tuning

TDD

CI/CD practices

Tools

Docker

Kubernetes

OpenShift

Spring Boot

Spring Data

Spring Batch

Maven

Gradle

Jenkins

Git

PostgreSQL

Oracle

MongoDB

Job description

Roles and Responsibilities

• Architect, build, and optimize high-throughput, low-latency distributed data processing pipelines using Apache Spark and Java.
• Perform deep JVM garbage collection tuning and optimize Spark job execution plans for high-volume data workloads.
• Design and deploy resilient, containerized microservices using Docker, Kubernetes, and OpenShift environments.
• Implement robust backend services and batch processing components utilizing Spring Boot, Spring Data, and Spring Batch.
• Model, query, and optimize relational databases (PostgreSQL/Oracle) and NoSQL stores (MongoDB/Graph DB).
• Drive engineering best practices by writing automated test suites using JUnit and Mockito under a TDD/DDD methodology.
• Automate, maintain, and upgrade end-to-end CI/CD build and deployment pipelines using Maven, Gradle, Jenkins, and Git. Provide technical leadership, participate in architecture design reviews, and mentor junior software engineers.

Preferred Candidate Profile

Experience: 7 to 10 years of overall software engineering experience with a strong focus on Core Java and Big Data engineering.

Technical Expertise

• Expert-level Core Java (8+), Java Concurrency API, Collections, and JVM internals tuning.
• Proven track record with Apache Spark (RDDs, Data Frames, Spark SQL) for large-scale data transformation.
• Production experience with the Spring Ecosystem, specifically Spring Boot, Spring Batch, and Spring Data.
• Hands-on expertise with Docker containerization and orchestration via Kubernetes or OpenShift.
• Strong command of SQL (PostgreSQL, Oracle) along with NoSQL solutions like MongoDB.
• Solid foundation in Data Structures, Algorithms, SOLID design principles, and Test-Driven Development (TDD).