Description

You will design, build, and manage data architectures and ETL pipelines within an AWS ecosystem.

This role is on-site.

Responsibilities

• Design and optimize ETL pipelines for structured and unstructured data.
• Develop scalable, performance-driven data models.
• Implement AWS-based data architectures with a focus on cost optimization and scalability.
• Write complex SQL queries to support analytics and reporting.
• Collaborate with stakeholders to deliver data-driven solutions in an Agile environment.

Required Skills

• 7–14 years of experience in AWS Data Engineering.
• Advanced PySpark skills with a focus on performance optimization.
• Extensive experience with AWS services: Redshift, Glue, Athena, Lambda, DMS, RDS, and CloudFormation.
• Strong Python coding skills.
• Expert-level SQL for query writing and optimization.
• Proven experience in ETL development and data modeling.
• Hands-on experience with big data and cloud-native ecosystems.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate