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Senior Data Engineer Mxt
hace 2 semanas
Job Details:
As a Senior Data Engineer in the Data and Analytics organization, this role will play a critical part in the continued advancement of cloud-native capabilities. This role must possess a strong data manipulation and data warehouse background. And a solid professional experience. This role will be responsible for the development and maturity of high-performance, web-scale data pipeline solutions that run on cloud platforms such as GCP (Google Cloud Platform) or AWS (Amazon Web Services). The Sr Data Engineer will be part of building and designing robust data ingestion and transformation solutions throughout the system development lifecycle. Be an active participant in support activities, and prototyping efforts including the read-out of outcomes in an acceptable manner. The Sr Data Engineer will also be responsible of having a continued commitment to mentoring and growing technical team members. A successful engineer in this position will possess the ability to comprehend “Art of the Possible” greenfield architectures, show strong ownership characteristics, and demonstrate a high technical aptitude including a consistent focus on emerging and predominant technologies that help the organization.
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience.
- Practical technical experience through a combination of full-stack engineering, architecture, and/or technical delivery for large-scale, complex, cloud-based software systems.
- Proficiency with SQL & Query optimization, working on RDBMS and Data Warehouse (ERD (Entity Relationship Diagram) and Dimensional modeling).
- General understanding of patterns related to architecture, design, and implementation of highly distributed global cloud-based systems on AWS and GCP.
- General understanding of GitLab CI and/or Jenkins CICD frameworks and DevSecOps practices related to DevSecOps theory.
- Ability to implement technical solutions and prototypes from high-level design sessions with Cloud Architect.
- Experience working on teams that use Agile as their system development life cycle methodology.
**Requirements**:
- Technical Skills: Hands on experience in SQL & Query optimization, working on RDBMS and Data Warehouse
- Solid and demonstrated experience working with varied databases, real-time integration patterns and ETL/ELT best practices.
- Experience on working through Agile methodology (Scrum/Kanban)
- Experience with CICD frameworks and common DevOps practices
- Experience working in an onsite-offshore model.
- Awareness about the Metadata, Data Quality and Governance needs of Data and Analytics platforms.
- Soft Skills: Leadership, technical mentoring, analytical, engineering, problem solving, presentation and excellent communication skills.
- Ability to work with a broad group of team members with diverse backgrounds.
**Experience**:
- 3+ years' experience through a combination of full-stack engineering, architecture, and/or technical delivery for large-scale, complex, cloud-based software systems.
- Hands-on experience in SQL & Query optimization, working on RDBMS and Data Warehouse (ER and Dimensional modeling).
- Hands-on experience with all aspects of the software development life cycle, including but not limited to design, implementation, build, test, deploy, and support activities.
Relocation Assistance Eligible:
No
Work Shift:
Tyson is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.
We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.
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