Description

Build and maintain data pipelines to process and analyze large-scale datasets.

Responsibilities

• Clean, transform, and analyze raw data from multiple systems using Spark.
• Develop production-embedded data pipelines to support feature developers and business analysts.
• Handle ad-hoc data requests and implement scalable data solutions.
• Manage the full lifecycle of big data applications.

Required Skills

• 5+ years of experience in data engineering roles.
• Strong proficiency in the Scala programming language.
• Deep understanding of Spark architecture and Spark internals.
• Hands-on experience with Spark for large-scale data processing.
• Proven track record managing the full lifecycle of at least one big data application.
• Any Graduate degree.

Preferred Skills

• Experience working within AWS environments.

Key Skills

Education

Any Graduate