Description

You will design and implement data pipelines and warehousing solutions within an AWS environment, migrating legacy workflows to the cloud.

Responsibilities

• Develop and maintain ETL processes to support data warehousing requirements.
• Design data models following industry best practices for warehouse architecture.
• Migrate legacy data workflows, such as SSIS, to cloud-based environments.
• Implement data governance and security protocols across all data pipelines.
• Collaborate with stakeholders to translate business requirements into technical data solutions.

Required Skills

• 5+ years of experience in data engineering.
• Expertise with Snowflake and AWS Glue.
• Proficiency in Python or similar scripting languages for ETL development.
• Strong experience with AWS cloud services.
• Deep understanding of data modeling and warehouse design.
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven ability to solve complex data integration problems.

Preferred Skills

• AWS certifications focused on data and analytics.
• Experience with SQL Server SSAS cubes and MDX/DAX languages.
• Master's degree in a technical field.

Key Skills

Education

Bachelor’s Degree