Description

You will build and maintain scalable data pipelines and cloud infrastructure within an AWS environment.

Responsibilities

• Design, develop, and optimize ETL pipelines using AWS Glue and PySpark.
• Manage data transformations from multiple sources into AWS S3, Redshift, or Snowflake.
• Deploy and automate AWS infrastructure using Terraform.
• Develop interactive Tableau dashboards and manage Tableau Server administration.
• Maintain CI/CD pipelines for deploying data applications.

Required Skills

• 5+ years of experience in AWS Data Engineering focusing on Glue, Redshift, and S3.
• Expertise in ETL development using AWS Glue with PySpark, Scala, or Python.
• Hands-on experience with Terraform for infrastructure automation.
• Proficiency in SQL, Python, or Scala for data processing.
• Experience in Tableau development and administration, including connecting to Redshift, Athena, and Snowflake.
• Strong understanding of cloud security, IAM roles, and permissions.
• Experience managing CI/CD pipelines using Git, Jenkins, or AWS Code Pipeline.
• Knowledge of data modeling, warehousing, and performance optimization.

Key Skills

Education

Any Graduate