Service Operations Data Analyst
hace 3 semanas
Role Title: Data Operations Analyst (Remote in MX) Employment Type: Contract-to-Hire/Contract-to-Full Time
Duration: 3 months contract, then converts to Full Time
Preferred Location: Remote in Mexico
Role Description
We are seeking a curious, growth-minded Junior DataOps Engineer to support and monitor our data platform. You'll gain hands-on experience with Snowflake, dbt, and Python while learning to take ownership of your work.
Key Responsibilities
Monitor & Respond: Track pipelines, investigate failures, and log issues.
Support Users: Troubleshoot tickets and resolve data-related questions.
Data Ingestion: Ensure timely and accurate daily data loads.
Learn & Automate: Build Python scripts to automate checks and repetitive tasks.
Documentation: Record known errors and solutions for the team.
Skill Growth: Learn the stack to take on more complex engineering tasks over time.
Requirements
Experience: 0-2 years (internships, bootcamps, personal projects count).
Mindset: Self-starter, persistent, eager to learn, and willing to ask questions.
SQL: Basic understanding (joins, aggregations, filtering) to query and validate data.
Python: Working knowledge; comfortable reading code and learning modern practices (3.10+).
Troubleshooting: Can logically identify the source of errors.
Ownership: Follows through to fully resolve issues.
Nice to Have
Exposure to Snowflake (labs or certifications).
SnowPro Core certification or willingness to obtain within 6 months.
Basic Git/version control and command-line familiarity.
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