Scala/Spark Developer

2 days ago

Bengaluru Chennai Pune, India Photon Full time ₹ 6,00,000 - ₹ 8,00,000 per year

About The Role  

  • 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).

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