Description

You will develop, manage, and optimize big data processing pipelines and applications.

This role is on-site.

Responsibilities

• Develop and optimize Spark Scala applications for large-scale data processing.
• Manage and troubleshoot data flows using Hive, Impala, Kafka, and HBase.
• Implement and support data jobs across SDLC phases, including testing and production deployment.
• Debug and trace complex errors and exceptions during Spark job execution.

Required Skills

• 5+ years of professional experience in Big Data development.
• Expert proficiency in Spark Scala programming.
• Extensive experience with Hadoop Ecosystem and Spark Architecture.
• Proficiency in Unix Shell Scripting.
• Proficiency in PL/SQL.
• Experience with Autosys scheduler.
• Strong working knowledge of Spark Streaming.
• Experience with udeploy, TeamCity, and SharePoint.
• Demonstrated ability to work across the full Software Development Life Cycle (SDLC).

Key Skills

Education

Any Graduate