Description

You will architect and build scalable big data solutions.

This role is on-site.

Responsibilities

• Architect and design scalable big data solutions leveraging Hadoop, Hive, Spark, and Scala.
• Develop and optimize data pipelines and workflows for processing large-scale datasets.
• Manage and fine-tune distributed computing frameworks to ensure high performance.
• Collaborate with cross-functional teams to gather and define data requirements.
• Implement data security, governance, and compliance measures in big data environments.

Required Skills

• 10+ years of experience in Big Data and Hadoop Ecosystems.
• Expertise in Apache Spark for distributed data processing and real-time analytics.
• Advanced proficiency in Scala programming for big data application development.
• Strong experience with Hive for data warehousing and querying large datasets.
• In-depth knowledge of Hadoop ecosystem, including HDFS and MapReduce.
• Strong SQL skills and familiarity with ETL processes.
• Basic knowledge of Java and Springboot.

Key Skills

Education

Any Graduate