Description

Design and implement data architectures and pipelines on AWS.

This role is hybrid.

Responsibilities

• Design and build scalable data pipelines using AWS services.
• Manage and optimize data processing jobs using Spark and Scala.
• Implement infrastructure as code using CloudFormation.
• Monitor and troubleshoot data workflows using CloudWatch.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency with AWS services: Athena, SQS, Macie, DynamoDB, API Gateway.
• Strong experience with Spark and Scala for data transformation.
• Hands-on knowledge of Kinesis and CloudFormation.
• Experience with data warehousing concepts.
• Familiarity with distributed computing frameworks.

Key Skills

Education

Any Gradute