Description

You will build and maintain scalable data workflows within an AWS environment.

Responsibilities

• Design and implement scalable ETL data pipelines.
• Build and manage data workflows using AWS native services.
• Fine-tune SQL queries and optimize cloud-based data infrastructure.
• Develop data processing logic using Python and PySpark.
• Build and manage Data Lakes.

Required Skills

• 8+ years of experience in data engineering roles.
• Proficiency with AWS Glue, EMR, Lambda, Athena, Redshift, and S3.
• Strong expertise in Python and PySpark.
• Advanced SQL and PostgreSQL skills.
• Deep understanding of ETL processes and data warehousing.
• Knowledge of cloud-native architectures.
• Any Graduate degree.

Key Skills

Education

Any Gradute