United States Remote

Full-time · Entry level
1,001-5,000 employees · Internet Publishing

Responsibilities:

Develop data processing pipelines in the Azure environment (receiving content, transforming data, and sending to a target)
Ensure databases, storage, and compute resources are running at peak efficiency by working with infrastructure, DevOps, and other data engineering team members
Discover barriers to data processing capabilities and performance and envision solutions to them
Assist technical documentation team with the preparation of required materials
Actively participate in team agile activities including standups, planning, retrospectives, etc.
Apply knowledge of security best practices and oversight of secure database coding
Maintain best practice coding standards for all tooling
Provide troubleshooting support and identify root causes for issues
Educate staff members through training and individual support

Required Skills:

Experience building and troubleshooting big data pipelines, architectures, and data sets
Experience with Azure-based data engineering SaaS tools
Azure Data Lake Storage
Azure Data Factory – Pipelines and Data Flows
Azure Key Vault
Azure SQL Database and Azure Synapse (formerly SQL Data Warehouse) development experience
Proficiency in design, performance tuning, analytic querying
Experience with PolyBase
Power Query (“M”) in PowerBI
Experience working in an Agile based development environment with DevOps practices
Team Foundation/Jira/Azure DevOps work item management
Git/Mercurial/TFVCS source control
Experience in PCI, GDPR, ISO, or other security compliance