Description

You will build and maintain scalable data infrastructure solutions on AWS.

This role is hybrid.

Responsibilities

• Design and maintain scalable ETL pipelines and data integration workflows.
• Implement data processing and automation using Python or Scala.
• Build data workflows leveraging AWS Glue, Step Functions, and Lambda.
• Apply data quality, governance, and security best practices to data systems.

Required Skills

• 5+ years of experience as a Data Engineer.
• Expertise with AWS services including S3, Redshift, Glue, Lambda, EMR, and Athena.
• Proficiency in Python or Scala for data processing.
• Strong command of SQL and experience with large-scale relational and NoSQL databases.
• Knowledge of data modeling, data warehousing, and data lake architecture.
• Experience with Apache Spark, PySpark, or Hadoop frameworks.
• Familiarity with infrastructure automation using Terraform or CloudFormation.
• Experience operating within Agile team environments.

Key Skills

Education

Any Graduate