We are seeking a senior data engineer to join our team.
Job Description:
This is an exciting opportunity for a senior data engineer with strong mlops expertise to contribute to our growing data engineering team. The ideal candidate will have experience in designing, developing, and maintaining robust, scalable data infrastructure across real-time and batch workloads.
You will be responsible for building and supporting ml pipelines for model training, deployment, and monitoring. Additionally, you will collaborate cross-functionally with data scientists, engineers, and product teams to deliver high-performance data and ml solutions.
Key Responsibilities:
* Design and develop scalable data infrastructure
* Build and support ml pipelines
* Collaborate with data scientists and engineers
* Develop apis and services for data ingestion, transformation, and querying
Required Skills and Qualifications:
The successful candidate will have a strong background in data engineering and mlops. The following skills and qualifications are required:
* 5+ years of experience as a data engineer or mlops engineer
* Strong experience with python, java, or scala
* Hands-on experience with gcp (preferred), aws, or azure
* Experience with bigquery, ml frameworks (tensorflow, pytorch), and container orchestration (docker, kubernetes)
Benefits:
This is a full-time, 100% remote opportunity exclusive to candidates located in brazil. You will be working with a fast-paced us-based company, leading innovations in sustainable commerce and data-driven operations.
Others:
Bachelor's or master's degree in computer science or related fields is preferred. Strong communication skills and fluency in english (written & spoken) is mandatory.