Description

You will build and manage scalable data pipelines and ETL processes within AWS environments.

Responsibilities

• Design, develop, and maintain secure, scalable data pipelines and ETL processes on AWS.
• Collaborate with cross-functional teams to architect solutions and implement data workflows.
• Process large datasets using Spark, Hadoop, and EMR.
• Utilize AWS services including S3, Glue, Redshift, Lambda, and DynamoDB for storage and transformation.
• Apply best practices for data modeling, security, governance, and compliance.

Required Skills

• 10+ years of data engineering experience with a focus on cloud environments.
• Expertise in AWS services: S3, Glue, Redshift, EMR, Lambda, and DynamoDB.
• Proficiency in Python, SQL, or Scala.
• Experience with Spark and Hadoop.
• Strong knowledge of AWS cloud architecture.
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.

Key Skills

Education

Bachelor's degree in Computer Science