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