Senior Big Data Developer

Key Skills: Hadoop, Spark, Python, SQL, Scala, HDFS, Hive, Kafka, HBase

Roles & Responsibilities:

• Design, develop, and maintain large-scale data processing systems using Hadoop and Spark.
• Write optimized Spark jobs using Scala to ensure efficient data processing.
• Implement and manage data pipelines and workflows using HDFS, Hive, Kafka, and HBase.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure high performance and responsiveness of applications by optimizing data processing tasks.
• Stay updated with the latest trends and technologies in big data and distributed computing.

Experience Requirement:

• 5 -8 years of experience working with Hadoop and Spark for data engineering solutions.
• Strong expertise in developing Spark jobs using Scala and optimizing performance in distributed environments.
• Experience in building and maintaining data pipelines involving HDFS, Hive, Kafka, and HBase.
• Proficient in implementing best practices for big data application development and system scalability.
• Ability to work collaboratively with data engineers, analysts, and product teams to meet business goals.

Education: Any Graduation