Description

You will manage cloud-based SQL and NoSQL migration workloads and design scalable data architectures.

Responsibilities

• Execute migrations for cloud-based SQL and NoSQL workloads.
• Design and implement data architecture and modeling solutions.
• Build and maintain data pipelines using AWS services.
• Collaborate with teams to solve complex data engineering problems.

Required Skills

• 4+ years of experience in data engineering.
• Proficiency in Python and PySpark.
• Strong SQL skills.
• Hands-on experience with AWS Glue, Redshift, EC2, Lambda, and S3.
• Experience building AWS data pipelines using Glue, Airflow, or SageMaker.
• BS or MS in Computer Science or Engineering.
• Solid understanding of data architecture and modeling.

Preferred Skills

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

Key Skills

Education

Any graduate