Description

You will design and execute data architecture and modeling solutions within an AWS environment.

This role is remote.

Responsibilities

• Execute cloud-based SQL and NoSQL migration workloads.
• Build and manage AWS data pipelines using Glue, Airflow, and SageMaker.
• Develop data processing logic using Python and PySpark.
• Design and implement data models to support enterprise warehousing and analytics.

Required Skills

• 4+ years of experience in data engineering.
• Proficiency in Python, PySpark, and SQL.
• Hands-on experience with AWS services including Glue, Redshift, EC2, Lambda, and S3.
• Strong expertise in data architecture and modeling.
• Experience managing cloud-based SQL and NoSQL migrations.
• Degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Proficiency with Git for version control.
• Background in enterprise data warehousing and analytics.

Key Skills

Education

Any graduate