Java Software Engineer

Java+Big Data

Work exp - 5 to 7 yrs

Key Responsibilities

Design, develop, and maintain Java-based data processing applications.

Build and optimize Big Data pipelines using technologies such as Hadoop, Spark, Hive, HBase, Kafka etc.

Work on ETL processes , data ingestion, data transformation, and data quality improvements.

Implement and optimize distributed data processing solutions for large datasets.

Integrate Java applications with Big Data ecosystems (HDFS, Hive, Kafka, etc.).

Develop REST APIs and microservices using Java / Spring Boot for data access and processing.

Troubleshoot performance issues across complex data pipelines.

Collaborate with data engineers, architects, and analysts to understand business requirements.

Ensure best practices in coding, version control, CI / CD, and cloud-based deployments.

Write clean, maintainable, and scalable code following industry standards.

Required Skills

Java Skills

Strong proficiency in Core Java , OOPS, Collections, Multithreading

Experience with Spring / Spring Boot

Hands-on experience in building scalable backend systems

Good understanding of REST APIs and microservices

Big Data Skills

Experience with Hadoop ecosystem – HDFS, YARN, MapReduce

Strong knowledge of Apache Spark (RDD, DataFrame, Spark SQL)

Experience with Hive / Impala for querying large datasets

Knowledge of Kafka or other messaging / streaming platforms

Experience with NoSQL databases (HBase, Cassandra, MongoDB)

Additional Good-to-Have Skills

Experience with Airflow , NiFi, or similar orchestration tools

Exposure to AWS / Azure / GCP Big Data services

Familiarity with Docker / Kubernetes

Knowledge of data modeling, data warehousing concepts

Performance tuning and optimization for distributed systems