Description

You will build and manage data infrastructure to support high-visibility messaging campaigns for millions of users.

Responsibilities

• Develop and maintain ETL pipelines and data transformation processes.
• Build and manage API components for backend integration.
• Process massive datasets at terabyte and petabyte scales.
• Implement real-time data processing workflows.
• Manage data pipelines using CI/CD practices on AWS.

Required Skills

• 10+ years of hands-on experience as a Data Engineer.
• Proven experience working with Spark and Hadoop.
• Expertise in ETL, pipelines, and data transformation.
• Experience handling terabyte and petabyte scale data volumes.
• Hands-on experience with real-time data processing.
• Experience with AWS analytical services including Glue, S3, EMR, and DynamoDB.
• Experience with CI/CD workflows.

Preferred Skills

• Experience with Databricks.
• Proficiency in Scala or Java.
• Experience or basic understanding of API development.

Key Skills

Education

ANY GRADUATE