Data Engineer - Remote

Overview

At Tiger Analytics, we are a global leader in advanced analytics, AI, and data engineering solutions. Collaborating with some of the world’s most recognized brands, we solve complex business challenges with cutting-edge technology. We are looking for experienced Data Engineers in Mexico to join our team and contribute to transformative data solutions.

In Short

• Design, build, and maintain efficient, scalable data pipelines and ETL workflows.
• Partner with Data Scientists, ML Engineers, and business stakeholders to understand and implement data requirements.
• Develop high-performance data processing systems using distributed computing frameworks like Apache Spark or Hadoop.
• Architect and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Work extensively with tools such as Databricks and Snowflake for data processing and analytics.
• Optimize and troubleshoot cloud-based data workflows for performance, scalability, and cost-efficiency.
• Implement robust data governance practices to ensure quality, consistency, and compliance.
• Work with structured and unstructured data across relational and NoSQL databases.
• Mentor junior team members and contribute to best practices in data engineering.

Requirements

• Experience in data engineering and ETL processes.
• Proficiency in distributed computing frameworks.
• Experience with cloud platforms.
• Familiarity with data processing tools.
• Ability to optimize data workflows.
• Knowledge of data governance practices.
• Experience with relational and NoSQL databases.
• Mentoring skills.

Benefits

• Opportunity to work with leading brands.
• Collaborative work environment.
• Professional development opportunities.
• Competitive salary and benefits.