Senior Java Spark Developer

Job Summary:

We are seeking a Senior Java Spark Developer with expertise in Java, Apache Spark, and the Cloudera Hadoop Ecosystem to design and develop large-scale data processing applications. The ideal candidate will have strong hands-on experience in Java-based Spark development, distributed computing, and performance optimization for handling big data workloads.

Required Skills & Experience:

8+ years of experience in application development, with a strong background in Java and Big Data processing.
Strong hands-on experience in Java, Apache Spark, and Spark SQL for distributed data processing.
Proficiency in Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop.
Experience building and optimizing ETL pipelines for large-scale data workloads.
Hands-on experience with SQL & NoSQL databases like HBase, Hive, and PostgreSQL.
Strong knowledge of data warehousing concepts, dimensional modeling, and data lakes.
Proven ability to troubleshoot and optimize Spark applications for high performance.
Familiarity with version control tools (Git, Bitbucket) and CI/CD pipelines (Jenkins, GitLab).
Exposure to real-time data streaming technologies like Kafka, Flume, Oozie, and Nifi.
Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment.