Java Software Engineer

Job Description

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