Data Engineer

Pay: 70-75/HR

Contract Duration: 12 MO

Work Arrangement: 3 days - hybrid

We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.

Data Engineering Projects

• Data pipeline creation and maintenance. Stack: Azure Cloud, Azure Databricks, Snowflake
• Includes engineering, documentation, knowledge transfer to other engineers, future enhancements and maintenance
• Create secure data views and publish them to the Enterprise Data Exchange via Snowflake for other lululemon teams to consume
• Data pipeline modernization and migration via Databricks Delta Live Tables (DLT) and Unity Catalog
• Leverage existing CICD process for pipeline deployment
• Adhere to PII encryption and masking standards

DevOps Support

• Support improvements to current CICD process
• Production monitoring and failure support
• Provide an escalation point and participate in on-call support rotations
• Participate in discussions on how to improve DevOps
• Be aware of product release and how that impacts our business
• Take part in Agile ceremonies
• Perform engineering assignments using existing procedures and best practices
• Conduct research to aid in product troubleshooting and optimization efforts
• Participate in and contribute to our Engineering Community of Practice\

Qualifications:

• Completed Bachelor’s degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible
• 5+ years of relevant engineering experience
• Azure certification is preferred.
• Experience with DBT/DLT and working with Medallion Architecture
• Experience with Azure Cloud deployments and Configurations.
• Experience with CI/CD principles and best practices including Azure DevOps and Repos.
• Experience with Azure Data Factory, Azure Data Bricks, Snowflake, and Storage Accounts.
• Experience working with a Data Engineering team and understanding of Data Engineering practices.
• Experience with Terraform and ARM templates is preferred.
• Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space
• Experience with bug tracking and task management software such as JIRA, etc.
• Experienced in managing outages, customer escalations, crisis management, and other similar circumstances.