Data Operations Engineer - Remote
Ciudad de México, CDMX, Mexico
Role: Data Operations Engineer
Tech Stack: Python or C++, SQL, Bash, Git, Regex, Linux/Unix
Location: Mexico
Modality: Remote, full time
At Zarego, we specialize in software architecture and custom web and mobile app development. With over a decade of expertise, we deliver bold, innovative solutions for clients of all sizes, from visionary startups to multinational companies.
We're growing and looking for a Data Operations Engineer to join our team!
Responsibilities:
- Monitor and support daily data pipeline operations, ensuring reliability and efficiency in a fast-paced environment.
- Troubleshoot real-time trading alerts while managing research-driven workflows.
- Investigate, escalate, and resolve data issues related to structure, quality, and availability.
- Improve process efficiency by developing SDKs, runbooks, and automation scripts.
- Work closely with internal teams and external vendors to address operational needs and improve workflows.
Requirements:
- Proficiency in Python or C++ (Perl is a plus).
- Strong SQL skills; (experience with PromQL is a plus).
- Experience with Bash, Git, and Regex.
- Strong Linux/Unix skills, including debugging in a terminal, working with logs, and writing Bash scripts.
- English level: Advanced (C1 / C2)
If you feel identified, apply and we'll get in touch to tell you more about what we're working on.
We look forward to hearing from you!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture DataOps Git Linux Perl Python Research SQL
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