Data Operations Engineer

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Written by AI from the job title and company, not by Imagine360, so some details may not match this job. The employer's own page has the real description.

Overview

The Data Operations Engineer at Imagine360 will play a crucial role in ensuring the efficient handling and processing of data across the organization. The successful candidate will be responsible for the design, implementation, and maintenance of data pipelines and workflows, ensuring data integrity, and optimizing system performance. This role requires collaboration with cross-functional teams to understand data requirements, improve automation, and facilitate seamless data flow. Additionally, the engineer will monitor data systems, troubleshoot issues, and enhance existing processes to support the company’s analytical and operational goals.

Job Responsibilities

• Design, implement, and maintain scalable data pipelines to process data from various sources.
• Ensure data integrity and quality throughout the entire data lifecycle.
• Monitor and optimize data processing workflows to enhance overall efficiency.
• Collaborate with data science and analytics teams to understand data requirements.
• Automate manual data processing tasks and improve existing data workflows.
• Troubleshoot data-related issues and provide timely resolutions.
• Document data procedures and maintain clear communication with team members.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in data engineering, data operations, or a related role.
• Proficiency in SQL and experience with data visualization tools.
• Experience with data integration and ETL processes.
• Familiarity with programming languages such as Python or Java.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Technologies & Tools

The Data Operations Engineer will utilize a variety of technologies and tools to perform their duties effectively. Key technologies include SQL databases, Python or Java for programming, cloud platforms such as AWS or Azure for data storage and processing, along with ETL tools like Apache NiFi, Talend, or Informatica. Familiarity with data visualization platforms such as Tableau or Power BI is also advantageous to facilitate reporting needs.

Ideal Candidates

Ideal candidates for this position will exhibit a mix of technical expertise and strong interpersonal skills. They should demonstrate a passion for data and analytics, as well as a proactive approach to problem-solving. A successful Data Operations Engineer will be detail-oriented, capable of managing multiple priorities efficiently, and willing to engage collaboratively with various teams across the organization. A keen interest in learning and adapting to emerging technologies in the data landscape is also essential for sustaining career growth within Imagine360.