Tiger Analytics Inc.
la26.042 - Data Engineer
Remote role where the employee must remain based in a particular country.
Mexico only
Employer listed it 6 months ago · Found 2h ago
Been open since 6 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Mexico only
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $110k–$205k a year, a typical range taken from 231 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Mexico. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Mexico City, Mexico, Mexico City, Mexico, Mexico City, Mexico City, Mexico, Remote"
- Job description states: "based in Mexico."
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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
• 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.
Benefits
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.
Requirements
- ·• 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.
Benefits
- ·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.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 3h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $110k to $205k per year · You'll be taken to the employer's careers page.