Pay Range: $55 to $60
Job Description:

• Design, develop, and implement high-performance, scalable Big Data solutions using Hadoop (HDFS, Spark, MapReduce, Yarn) and Python to support large-scale data processing and analytics.

• Build and maintain real-time and batch data pipelines leveraging Kafka for data ingestion and streaming.

• Collaborate with cross-functional teams to gather requirements, identify system bottlenecks, and implement innovative data solutions that align with business goals.

• Utilize NoSQL technologies (e.g., MongoDB, HBase, or SingleStore) for diverse data storage needs and optimize data workflows.

• Contribute to the overall data strategy and architecture, staying current with emerging Big Data technologies and best practices.

• Must-Have Skills: Hands-on experience with Hadoop/Spark, Kafka, and Python.

• Preferred Skills: Experience with NoSQL databases, UNIX/Shell scripting, and Scala.