Lead data engineering efforts and architecture within an Agile environment.
Responsibilities
- Design and implement scalable data pipelines and data architecture.
- Develop and maintain API access and REST APIs.
- Apply DevOps practices and Infrastructure as Code (IaC) to data workflows.
- Collaborate with the team using Scrum and Agile project management methodologies.
- Utilize data storytelling to communicate technical insights.
Required Skills
- 5+ years of professional experience as a Data Engineer.
- Strong proficiency in SQL and Python.
- Hands-on experience with AWS, Azure, or IBM Cloud.
- Experience building and managing data pipelines.
- Practical knowledge of DevOps and Infrastructure as Code (IaC).
- Experience working within Agile and Scrum frameworks.
- Competency in REST APIs and API access.
Preferred Skills
- Strong analytical and communication skills.