Description

You will build and maintain data pipelines using distributed computing frameworks.

This role is on-site.

Responsibilities

• Develop data processing workflows using Spark and Scala.
• Write and optimize complex SQL queries for data manipulation.
• Implement data engineering solutions using Python and PySpark.
• Maintain data integrity and pipeline efficiency across distributed systems.
• Design scalable data architectures for large-scale processing.

Required Skills

• 5+ years of professional experience in data engineering.
• Strong proficiency in SQL.
• Advanced experience with Python.
• Hands-on experience with Spark.
• Working knowledge of Scala.
• Experience using PySpark for large-scale data processing.
• Bachelor’s degree or foreign equivalent from an accredited institution.

Key Skills

Education

Any Graduate