Job Description

Location: 100% remote work 




Responsibilities:

• Building a distributed and highly parallelized Big Data processing pipeline to process massive amounts of data (both structured and unstructured) in near real-time

• Leveraging Spark & Scala to transform corporate data and enable data products to be built

• Ensuring continuous delivery on Hadoop and other Big Data platforms

• Automating processes where possible to ensure they are repeatable and reliable

• Creating and maintaining efficient data flows

• Collaborating with team members and stakeholders to deliver expected results





Requirements:

• Minimum 5 years of experience with Spark & Scala

• Minimum 7 years of experience with Python

• Minimum 5 years of experience with Linux

• Hands-on experience with distributed data processing engines (e.g. Spark...