Description

You will build and maintain data pipelines and workflows within an AWS environment.

Responsibilities

• Develop and maintain data pipelines using AWS services including Glue, Redshift, and S3.
• Automate data ingestion and processing workflows.
• Integrate data from multiple sources to support analytics.
• Monitor and optimize data pipeline performance while implementing data validation and error-handling.
• Manage cloud infrastructure and implement security best practices for data quality.

Required Skills

• 3+ years of experience in data engineering with AWS.
• Proficiency in Python and SQL.
• Hands-on experience with AWS Lambda and EC2.
• Experience using Big Data tools.
• Experience with AWS Glue, Redshift, and S3.
• Bachelor’s degree in Computer Science or a similar field.

Key Skills

Education

Any Graduate