Analyst - DataOps (Data Engineering)

TL;DR

Analyst - DataOps (Data Engineering): Providing data pipeline support, operations, and engineering across multiple data domains and platforms with an accent on ensuring high-quality, timely data for clients. Focus on monitoring, optimizing data pipelines, and collaborating with data teams to enhance data quality processes.

Location: Hybrid (Mexico City)

Company

hirify.global is dedicated to helping people experience financial well-being through investments that strengthen the global economy.

What you will do

• Monitor and manage data pipelines for timely and accurate data flow.
• Resolve quality checks alerts to ensure data accuracy and consistency.
• Optimize data pipeline performance to meet service level agreements (SLAs).
• Collaborate with data teams to implement improvements in data quality processes.
• Maintain documentation of data operations processes and issue resolution protocols.

Requirements

• 0-3 years of experience in data operations and engineering.
• Hands-on experience with data processing, orchestration, and cloud-based databases (e.g., Snowflake).
• Strong analytical and problem-solving skills.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or Statistics.