Description

You will build and maintain scalable data solutions for large-scale datasets.

This role is on-site.

Responsibilities

• Develop and manage ETL pipelines for large-scale data processing.
• Model data structures to support analytical requirements.
• Implement data processing jobs using PySpark.
• Build and maintain scalable data solutions on AWS.

Required Skills

• 5+ years of professional experience in data engineering.
• Expertise in Python and PySpark.
• Hands-on experience with AWS services (S3, Glue, Redshift, EMR, Lambda).
• Strong proficiency in SQL.
• Proven ability in data modeling.

Key Skills

Education

Any Gradute