Description

Develop large-scale enterprise applications using Big Data open-source solutions and manage high-volume real-time and batch processing.

Responsibilities

• Develop large-scale enterprise applications using Hadoop, Spark, Kafka, and Elastic Search.
• Design and implement ETL-based high-volume real-time and batch application processing.
• Build and maintain distributed cloud services with a focus on security, isolation, and multi-tenant design.
• Design RESTful APIs following industry best practices.
• Manage application, data, and infrastructure architecture disciplines.

Required Skills

• 6-8 years of experience in Big Data and Hadoop ecosystems.
• Proficiency in Scala, Java, and Python.
• Hands-on experience with Hadoop ecosystem stacks including HDFS, HBase, Hive, Pig, Spark, MapReduce, and Cloudera.
• Experience with AWS, Redshift, and Snowflake.
• Strong knowledge of RDBMS (Oracle, MySQL) and NoSQL (Cassandra).
• Experience with Eclipse/IntelliJ, Maven, Jenkins, GIT, JIRA, and Control M.
• Working knowledge of frameworks such as Spring, Apache, or Hibernate.
• Experience with Change Management and Incident Management processes.

Preferred Skills

• Experience with Kafka and Cassandra.

Key Skills

Education

Any Graduate