
Senior Data Engineering Position
7 days ago
Greetings from our organization, a pioneering force in data-driven innovation.
As a seasoned Data Engineer, you will lead the implementation of infrastructure via code and provide strategic advice/recommendations for the development and advancement of Microsoft Azure technologies based on previous research on trends in public cloud environments.
Key responsibilities include integrating and automating the delivery of standardised Azure deployments, working in conjunction with orchestration products such as Azure DevOps with Terraform, Azure ARM templates and other modern deployment technologies.
- Act as the escalation point for level three Azure-related issues, providing technical support and fault resolution, as well as guidance and mentoring of operational run teams, both locally and remotely throughout the organisation.
- Ensure the appropriate gathering of business requirements and their translation into suitable solutions.
- Maintain and deliver all related documentation for the design, development, build, and deployment methods used, ensuring the source of control of all applicable code is stored and managed properly.
- Provide guidance and assistance to all support teams.
- Provide complementary support and leadership in hardening and security testing.
KEY COMPETENCIES:
Key competences include - tertiary qualifications in a relevant discipline with relevant certifications in Microsoft Azure, worked as Data engineer on Azure Cloud, good knowledge of PySpark, Azure Data Factory, comprehensive knowledge of public cloud environments and industry trends, significant experience supporting designing and developing public cloud solutions via Infrastructure as Code including Terraform and ARM, extensive DevOps experience, ability to communicate effectively and work collaboratively with diverse team members, demonstrated experience in security hardening and testing, proven ability in creating and updating accurate documentation, excellent verbal and written communication skills, willingness and flexibility to work outside of standard office hours and on weekends as required.
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