Description

You will build and maintain scalable data pipelines and AI-driven analytics solutions within an AWS environment.

Responsibilities

• Design, build, and maintain scalable ETL workflows and data pipelines using AWS services.
• Develop and optimize data models to ensure efficient query execution and high performance.
• Implement data transformations and machine learning workflows using Databricks.
• Integrate and prepare datasets for visualization in Tableau to support business intelligence.
• Enforce data governance, security, and best practices across the cloud data lifecycle.

Required Skills

• 6+ years of experience in data engineering.
• Hands-on expertise with AWS data services including Redshift, Athena, and Dremio.
• Strong experience using Databricks for data processing and AI workflows.
• Experience building scalable pipelines and integrating data for Tableau.
• Proven ability to deliver end-to-end cloud data engineering solutions.
• Knowledge of data security and governance in cloud environments.
• Degree in Computer Science, Data Engineering, Information Technology, or a related technical field.

Key Skills

Education

Any Graduate