Senior Data Engineer
Posted 24 days ago
You'll complete your application on TASQ Staffing Solutions's career site.
About the Role
In this senior-level role, you will direct technical groups of small to moderate size by managing task distribution and resource assignment. You will serve as the primary point for technical troubleshooting and represent your team during client discussions and Agile events. Your mandate includes creating and executing data models for both hybrid and cloud-based warehouse settings. You will construct data frameworks that handle various data formats—including unstructured, semi-structured, and structured data—while ensuring end-to-end warehouse delivery aligns with organizational objectives. You will maintain a hands-on technical approach while building partnerships with project stakeholders and company executives, specifically focusing on client-facing Azure initiatives that incorporate modern technologies.
Requirements
- Extensive history in leading small to medium technical units, handling work delegation, offering technical guidance, and acting as a team representative in Agile environments.
- Expertise in crafting and applying physical and logical data models for hybrid and cloud warehouse systems.
- Strong background in data architecture for both unstructured and structured information, with experience in complete data warehouse implementation life cycles.
- Proficiency with data modeling software such as ER/Studio or equivalent solutions.
- Demonstrated experience utilizing the Microsoft Azure Data Platform.
- Advanced technical skills in Python and SQL scripting.
- Competence in general cloud architecture principles.
Responsibilities
- Supervise small to medium-sized teams by delegating tasks and managing workload.
- Offer technical support for escalations and represent the team in Agile meetings and client interactions.
- Create and execute data models suitable for diverse data warehouse architectures.
- Oversee the delivery of complete data warehouse life-cycle projects.
- Design architectures that facilitate efficient data integration, perform profiling, and develop source-to-target mapping documentation.
- Provision and set up Azure data service assets.
- Construct reliable data pipelines based on project specifications.
- Provide mentorship and guidance to less experienced team members.
Benefits & Perks
- A competitive salary package that includes various allowances and standard employment perks.
- Eligibility for quarterly and annual cash bonuses based on your performance.
- Support for remote or flexible working arrangements.
- Access to leadership training programs and participation in high-level Azure projects.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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