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.
• Build ETL/ELT ingestions for OCMO related data and handle related monitoring and support duties.
• Accrues advanced knowledge of the OCMO product domains and can quickly apply development strategies to meet the stakeholder requirements for the data products.
• 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.

Key Skills:

• Machine learning.
• Programming.
• Data pipelines.
• Data warehouse.
• Communication.
• SQL.
• Databases.
• NoSQL.