Lead DevOps Data Engineer
VirtualVocations
About the role
A company is looking for a Lead DevOps Data Engineer.
Key Responsibilities
Lead the design, development, and implementation of scalable and secure data pipelines and data warehouses
Drive the adoption of DevOps principles and practices across data engineering initiatives
Mentor and guide a team of data engineers, ensuring adherence to best practices and architectural standards
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field; Master's degree preferred
7+ years of experience in data engineering, with at least 3 years in a lead or senior role focusing on DevOps practices
Proven expertise in designing and building large-scale data pipelines using ETL / ELT tools and PostgreSQL
Solid experience with Infrastructure as Code (IaC) tools like Terraform and CI / CD pipelines
Experience with containerization technologies (Docker, Kubernetes) and strong SQL skills
Requirements
- 7+ years of experience in data engineering, with at least 3 years in a lead or senior role focusing on DevOps practices
- Proven expertise in designing and building large-scale data pipelines using ETL / ELT tools and PostgreSQL
- Solid experience with Infrastructure as Code (IaC) tools like Terraform and CI / CD pipelines
- Experience with containerization technologies (Docker, Kubernetes) and strong SQL skills
Responsibilities
- Lead the design, development, and implementation of scalable and secure data pipelines and data warehouses
- Drive the adoption of DevOps principles and practices across data engineering initiatives
- Mentor and guide a team of data engineers, ensuring adherence to best practices and architectural standards
Skills
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