Data Operations Support Engineer (Python & Linux)

Job  Description

In this role, you’ll work on a global investment project, monitoring and supporting data pipelines operations within a Linux-based environment. In this hands-on role, you’ll collaborate with internal teams and external vendors, contribute to a fast-moving and data-driven environment, and take part in covering shifts.

‍

Requirements:

• Proficiency in Linux, the ability to debug and troubleshoot in a terminal environment;

• Proficiency in Python;

• Hands-on experience with data processing and pipelines, understanding of ETL processes and best practices;  

• Strong communication skills in English (oral and written);

• Ability to analyze complex problems, determine root causes;

• A positive, team-oriented attitude with a strong work ethic.

Nice to have

• Familiarity with SQL, PromQL;

• Experience with tools like PySpark or Airflow.

Additional Considerations:  

• Willingness to cover shifts and participate in lig

‍

‍

Responsibilities:

• Monitor and support data pipeline operations on a daily basis;

• Investigate, troubleshoot, and address data issues;

• Enhancing process efficiency by developing SDKs, runbooks, and automation scripts;

• Cooperate with internal teams and external vendors to align data operations.
  

‍

What We Offer:

• USD monthly payment;

• 100% remote opportunity;

• 15 working days of paid vacation per year (can be taken after 6 months in Customertimes);

• Up to 10 national holidays (either US or country of residence);

• 5 days paid time out for sick leave reasons;

• Reimbursement of health insurance expenses (up to 500 USD gross yearly);

• Travel expenses are covered when applicable;

• Referral program;

• Personalized development plan (PDP);

• Access to the language learning platform.

‍

‍