Data Operations Engineer

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Written by AI from the job title and company, not by JobNimbus, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a Data Operations Engineer at JobNimbus, you will play a crucial role in optimizing and maintaining the integrity of our data systems. Your expertise will guide the development, implementation, and monitoring of data workflows, ensuring that our data assets are seamlessly managed and available for analytics and decision-making processes. You will collaborate with various teams to optimize processes, troubleshoot issues, and implement data governance best practices, ultimately driving the efficiency of our data operations.

Job Responsibilities

• Design, develop, and implement data pipelines to facilitate seamless data integration and processing.
• Monitor data quality and integrity, implementing strategies for data validation and cleansing.
• Collaborate with cross-functional teams to identify data requirements and optimize data workflows.
• Troubleshoot and resolve data-related issues in a timely manner while documenting solutions for future reference.
• Develop and maintain comprehensive documentation of data processes, workflows, and governance.
• Implement and manage data governance frameworks to ensure compliance with organizational policies.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Proven experience in data operations, data engineering, or related roles with a focus on data management.
• Strong proficiency in SQL and experience with data modeling techniques.
• Familiarity with ETL (Extract, Transform, Load) tools and data warehousing concepts.
• Experience with programming languages such as Python, R, or Java preferred.
• Solid understanding of data governance and data quality best practices.

Technologies & Tools

This position will utilize a variety of technologies and tools to ensure efficient data management and operations. Key technologies include SQL databases, ETL tools, cloud data platforms such as AWS or Azure, and programming languages like Python and R. Familiarity with data visualization tools and version control systems such as Git is also beneficial in this role.

Ideal Candidates

The ideal candidates for the Data Operations Engineer position at JobNimbus are analytical thinkers who demonstrate a passion for data and technology. They possess strong problem-solving abilities and excel in collaborative environments, effectively working with diverse teams. Excellent communication skills, attention to detail, and a proactive approach to improving data processes are essential traits that contribute to their success in this role.