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.
