Data Engineer/MLOps Engineer
A company is looking for a Data Engineer/MLOps Engineer to support product teams in delivering data-driven solutions. Key Responsibilities Collaborate with product teams to implement scalable data pipelines and ML workflows Guide teams in adopting best practices for data engineering and MLOps Enhance data and ML infrastructure focusing on usability and efficiency Required Qualifications Strong knowledge of data system design and problem-solving Proficiency in Python and software engineering best practices Experience with containerization and orchestration (Docker, Kubernetes) Familiarity with Infrastructure as Code tools (Terraform or similar) Experience with distributed data-processing frameworks (e.g., Spark, Flink)
A company is looking for a Data Engineer/MLOps Engineer to support product teams in delivering data-driven solutions.
Key Responsibilities
Collaborate with product teams to implement scalable data pipelines and ML workflows
Guide teams in adopting best practices for data engineering and MLOps
Enhance data and ML infrastructure focusing on usability and efficiency
Required Qualifications
Strong knowledge of data system design and problem-solving
Proficiency in Python and software engineering best practices
Experience with containerization and orchestration (Docker, Kubernetes)
Familiarity with Infrastructure as Code tools (Terraform or similar)
Experience with distributed data-processing frameworks (e.g., Spark, Flink)
