Data Engineer

Data Engineer

This position functions within a Global Data & Analytics Team at a leading technology and security solutions company. This role is strategically designed to support existing Data Warehouse & Lakehouse initiatives of the Data Engineering Team. This role will be responsible for collaborating with the entire Global Data & Analytics Team, designing, and rolling out technical solutions in alignment with Team Architecture Best Practices.

What You Will Do:

• Collaborate with Global Data Team Members to review requirements & translate to ELT design and implementation.
• Understand Extract Transform and Load technical approaches and designs.
• Understand the agile approach, leveraging best practices and implementing/documenting repeatable processes.
• Coordinate with all source-system and IT teams to ensure integration points are managed and involved.
• Perform technical validation of extracted data.
• Follow established code management processes and utilize specified tools.
• Support & maintain Company's Global Data Assets.

What You Need to Succeed:

• 3–5 Years' experience in Data & Analytics.
• Execute and deliver with agile / iterative approach.
• Work well in teams that may be globally co-located.
• Experience working with Azure Synapse Analytics, Azure Data Factory, or Extract-Transform-Load Tool equivalent.
• Experience working with SQL Server Databases.
• Bachelor's Degree in a related field OR Technical Certification equivalent.