Description

You will design and build scalable data pipelines and warehousing solutions on AWS.

Responsibilities

• Develop ETL processes using AWS Glue, Lambda, S3, Kinesis, and Redshift to process large-scale data.
• Manage data lake and warehouse architectures, ensuring optimized storage and querying for structured and semi-structured data.
• Implement data security controls, including access management, encryption, and privacy compliance.
• Optimize workflows for cost and performance while configuring monitoring, logging, and alerting for pipeline health.
• Collaborate with data scientists and analysts to define data needs and deliver aligned solutions.

Required Skills

• 5+ years of experience designing and developing data pipelines.
• Hands-on proficiency with AWS S3, AWS Lambda, AWS Kinesis, and AWS Glue.
• Strong experience building and maintaining ETL processes.
• Ability to design data warehousing solutions on AWS Redshift.
• Knowledge of data security best practices and compliance standards.
• Experience with performance optimization and infrastructure monitoring.

Key Skills

Education

Any Gradute