Description

You will design, build, and maintain scalable data pipelines and machine learning workflows.

Responsibilities

• Design and maintain scalable data pipelines for large-scale processing.
• Implement machine learning models using Spark and AWS SageMaker.
• Develop and manage data workflows within Hadoop, Cloudera, or cloud environments.
• Document operational procedures and technical solution designs.
• Collaborate with teams using agile development practices and code reviews.

Required Skills

• 5+ years of experience in data engineering or big data development.
• Proficiency in Java and object-oriented scripting.
• Hands-on experience with Python.
• Advanced SQL knowledge and experience with relational databases.
• Experience with Hadoop, Cloudera, or cloud-based data platforms.
• Experience with Spark and AWS SageMaker.
• Competency with UNIX shell scripts and commands.
• Proficiency with Git for version control.
• Experience using Jira for issue tracking.

Key Skills

Education

Any Graduate