la26.042 - Data Engineer

MexicoMexico·Mexico CityRemotemid
Data EngineerData
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Quick Summary

Requirements Summary

Responsible for creating, deploying, and maintaining production-grade data pipel

Technical Tools
Data EngineerData

Tiger Analytics is a leading AI and advanced analytics consulting firm dedicated to delivering impactful data-driven solutions to Fortune 100 companies worldwide. We specialize in helping organizations solve complex business challenges through innovative Data Engineering, Machine Learning, and AI techniques. We are currently seeking a highly skilled Data Engineering Lead to manage and lead complex data engineering projects, driving excellence and innovation in our delivery.

Requirements

~2 min read

• We are seeking a highly experienced Data Engineer with over four years of expertise in modern data stack technologies, specifically focusing on Azure Databricks and the Medallion Architecture encompassing the Bronze, Silver, and Gold processing layers.

• Proven experience in designing, developing, and optimizing scalable, cloud-based data pipelines is essential.

• Pipeline Development & Orchestration: Responsible for creating, deploying, and maintaining production-grade data pipelines utilizing Azure Databricks, PySpark, and Azure Data Factory (ADF).

• Medallion Framework Management: Accountable for developing and managing the comprehensive Lakehouse pipeline architecture across the Bronze, Silver, and Gold layers.

• Delta Lake Optimization: Expertise in applying advanced Delta Lake features such as Z-Ordering, liquid clustering, vacuuming, and partitioning techniques to minimize query costs and improve read/write efficiency.

• Infrastructure as Code & CI/CD: Collaborate in managing and deploying cloud infrastructure using Terraform, Git, and Azure DevOps, automating the deployment of data pipelines.

• Data Governance & Security: Implement enterprise-level data governance frameworks, enforce access controls, and manage data lineage tracking utilizing Unity Catalog.

• Performance Tuning: Monitor, analyze, and address performance bottlenecks in distributed Spark clusters by optimizing cluster sizing, memory allocation, and execution plans.

• Proficiency in English, both spoken and written, is required for effective communication.

• Working hours are from 8:00 AM to 5:00 PM PST.

What We Offer

~1 min read
  • A collaborative and innovative work environment.
  • Opportunities to work on impactful projects with global clients.
  • Competitive salary and benefits tailored to mid to senior professionals.
  • Continuous learning and career development opportunities.
  • Flexible working arrangements based in Mexico.

Location & Eligibility

Where is the job
Mexico City, Mexico
Remote within one country
Who can apply
MX

About this job

Who can apply
Mexico
Posted
221 days ago
Employer
has 179 open jobs on Jobera in 5 countries.

Listing Details

Posted
March 18, 2026
First seen
September 29, 2026
Last seen
October 25, 2026

Posting Health

Days active
25
Repost count
0
Trust Level
39%
Scored at
October 25, 2026

Signal breakdown

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We provide certainty by solving your toughest challenges.

Employees
1,001-5,000
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la26.042 - Data Engineer