DataOps Engineer: Cloud Data Pipelines & Automation

DevOpsChat; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading technology firm in the United States is looking for a passionate DataOps Engineer to enhance data workflows and collaboration between data engineering and operations teams. This role requires expertise in data processing pipelines and cloud services, alongside skills in Docker and Kubernetes. Join a dynamic team environment where your contributions will significantly influence the organization’s data strategy.

Qualifications

• Experience in coding and scripting, particularly in Python or similar languages.
• Strong understanding of databases and data warehousing.
• Commitment to documentation and best practices in data management.

Responsibilities

• Maintain and improve data infrastructure.
• Ensure system reliability.
• Collaborate with cross-functional teams on data initiatives.

Skills

Coding and scripting

Data processing pipelines

Data warehousing

Analytics

Collaboration

Tools

Docker

Kubernetes

AWS

Google Cloud

Job description

A leading technology firm in the United States is looking for a passionate DataOps Engineer to enhance data workflows and collaboration between data engineering and operations teams. This role requires expertise in data processing pipelines and cloud services, alongside skills in Docker and Kubernetes. Join a dynamic team environment where your contributions will significantly influence the organization’s data strategy.