Data Engineer

Responsibilities:

• Works with cross-functional teams to understand functional product requirements and deliver on strategic data and analytics initiatives.
• Design, build, test and maintain architectures within the 'Quality Data Hub' of our cloud-based enterprise data warehouse.
• Define and implement the processes and tooling through which enterprise curated data models are built and maintained.
• Partners with solutions architects, analytics engineers, and data visualization developers to understand data extraction and transformation needs and builds a platform and related processes suited to them.
• Develop and enforce change management and versioning processes for code promotion.
• In collaboration with lead analytic staff, architect and enforce thorough quality assurance, testing and peer review procedures to ensure the accuracy, reliability, and validity of end products.
• Helps identify potential bottlenecks within the development lifecycle and propose high-level strategies to overcome them.
• Triage, troubleshoot and resolve data issues from end users and internal team members.
• Follows MGB Digital guidelines and standard practices to leverage existing tools and methods to efficiently develop modeling solutions, ensure that work is not duplicated, and is appropriately transitioned between teams.

Key Skills:

• Machine learning.
• Coding.
• Data pipelines.
• Communication.
• Data warehouse.
• SQL.
• Big data.
• Cloud.