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Data Engineer

Mexico City, Mexico

About Us

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.

Key Responsibilities

  • 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.

Tiger Analytics

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