Description

You will design, build, and maintain scalable data pipelines and migration workflows on AWS.

This role is on-site.

Responsibilities

• Build and maintain data pipelines using AWS Glue, Lambda, and PySpark.
• Manage data storage and retrieval across S3, DynamoDB, and RDS.
• Execute data migration projects and manage Amazon Redshift environments.
• Develop infrastructure as code using CloudFormation.
• Apply data engineering principles to solve complex analytical problems.

Required Skills

• 8+ years of professional software development experience.
• 5+ years of hands-on experience with AWS services: Glue, Lambda, DynamoDB, Redshift, S3, CloudFormation, and RDS.
• 5+ years of experience with Python and PySpark.
• Strong proficiency in Data Engineering concepts.
• Experience working with Oracle and SQL databases.
• Experience with data migration processes.

Preferred Skills

• Experience in agile environments.
• Knowledge of Snowflake and reporting tools like PowerBI or Tableau.
• Expertise in insurance financial engines and regulatory compliance.

Key Skills

Education

Any Gradute