DataOps Engineer

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

Overview

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As a DataOps Engineer at Jobicy, you'll play a crucial role in streamlining data workflows and enhancing collaboration between data engineering and operations teams. This position demands a strong understanding of data processing pipelines, cloud services, and DevOps practices. You will be responsible for implementing automated solutions for data ingestion, transformation, and quality assurance, while optimizing existing processes for better performance.

Responsibilities

Your key responsibilities include maintaining and improving data infrastructure, ensuring system reliability, and collaborating with cross-functional teams to align data initiatives with business goals. You'll utilize tools like Docker and Kubernetes, and work with cloud platforms such as AWS or Google Cloud to ensure seamless operations across environments.

Qualifications

Ideal candidates will have experience in coding and scripting, particularly in Python or similar languages, and a solid understanding of databases, data warehousing, and analytics. A commitment to thorough documentation and best practices in data management is essential for this role.

With a focus on innovation and efficiency, this position offers the chance to work in a dynamic team environment where your contributions will directly impact the organization’s data strategy.