Scala/Spark Developer

• Develop, test, and deploy data processing applications using Apache Spark and Scala.

• Optimize and tune Spark applications for better performance on large-scale data sets.

• Work with the Cloudera Hadoop ecosystem (e.g., HDFS, Hive, Impala, HBase, Kafka) to build data pipelines and storage solutions.

• Collaborate with data scientists, business analysts, and other developers to understand data requirements and deliver solutions.

• Design and implement high-performance data processing and analytics solutions.

• Ensure data integrity, accuracy, and security across all processing tasks.

• Troubleshoot and resolve performance issues in Spark, Cloudera, and related technologies.

• Implement version control and CI/CD pipelines for Spark applications.

Required Skills & Experience:

• Minimum 8 years of experience in application development.

• Strong hands on experience in Apache Spark, Scala, and Spark SQL for distributed data processing.

• Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop.

• Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi.

• Experience building and optimizing ETL pipelines using Spark and working with structured and unstructured data.

• Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL.

• Knowledge of data warehousing concepts, dimensional modeling, and data lakes.

• Ability to troubleshoot and optimize Spark and Cloudera platform performance.

• Familiarity with version control tools like Git and CI/CD tools (e.g., Jenkins, GitLab).