Description

You will design and build scalable data solutions on AWS.

This role is on-site.

Responsibilities

• Design, develop, and implement data pipelines using AWS Glue, Lambda, S3, Kinesis, and Redshift to process large-scale data.
• Build and maintain ETL processes for efficient data extraction, transformation, and loading, ensuring data quality.
• Design and manage data warehousing solutions on AWS, primarily using Redshift.
• Implement and manage scalable data lake solutions using AWS S3 and Glue for all data types.

Required Skills

• 10+ years of experience in Data Engineering.
• Expertise in ETL development and maintenance.
• Experience building and managing Data Infrastructure.
• Strong command of Data Pipelines implementation.
• Proficiency with AWS Data Engineer concepts.
• Familiarity with AWS services including Glue, Lambda, S3, Kinesis, and Redshift.
• Ability to implement data security best practices on AWS.

Preferred Skills

• Optimization of data workflows and storage solutions for cost and performance.
• Setting up monitoring and alerting for data systems.

Key Skills

Education

Any Gradute