Description

You will build and maintain large-scale data processing solutions and infrastructure.

Responsibilities

• Develop and optimize Big Data solutions using Hadoop, Hive, Python, Scala, Spark, and PySpark.
• Design and implement data processing pipelines for large-scale data ingestion, processing, and analysis.
• Collaborate with cross-functional teams to translate requirements into technical specifications.
• Troubleshoot and debug Big Data infrastructure to ensure high availability and reliability.
• Perform data analysis to identify trends and patterns.

Required Skills

• 4-12 years of experience in Big Data development.
• Proficiency with Hadoop and Hive.
• Hands-on experience with Spark and PySpark.
• Strong programming skills in Python and Scala.
• Experience designing data processing pipelines.
• Ability to troubleshoot and debug distributed systems.
• Any Graduate degree.

Key Skills

Education

Any Graduate