Data Operations Engineer

Data Operations Engineer position requires experience with large volumes of structured and unstructured data, AWS knowledge, and data engineering skills.

Requirements

• Undertake the processing of structured and unstructured data to utilize in data science activities.
• Support the data analysis of large information to discover trends and patterns and provide feedback to the business.
• Assist in designing and implementing scalable and robust processes for ingesting and transforming datasets.
• Design, implement, and support the creation and maintenance of data pipelines from a multitude of sources.
• Ingest large, complex data sets that meet functional and non-functional requirements.
• Request For Change (RFC) management in Amazon Managed Services (AMS) (logging, escalation, resolution)
• Provisioning infrastructure in AWS (via RFC process, CloudFormation, Console)
• AWS Security Management (authoring IAM security policies, logging security requests, user management/permissions)
• Infrastructure As Code (development of CloudFormation templates)
• Development, deployment, and management of CICD (Continuous Integration Continuous Deployment ) pipelines.
• Linux and Windows System Administration within AWS (SSH, RDP).
• Design and build bulk and delta data lift patterns for optimal extraction, transformation, and loading of data.
• Supports the organisations cloud strategy and aligns to the data architecture and governance including the implementation of these data governance practices.
• Work with various stakeholders across the organization to understand data requirements and apply technical knowledge of data management to solve key business problems.
• Provide support in the operational environment with all relevant support teams for data services.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance