la26.042 - Data Engineer
Company shown to members 🔒 · Remote · Mexico only
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First recorded by Psst: 14 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- Experience not stated
- Where you can live
- Mexico only
- Languages
- English
- Skills and tools
- azure, terraform, git, ci/cd, machine learning
- Time zone
- PST
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Job details
- Where you can work
- Mexico
- Employment type
- Not stated by the employer
- Advertised pay
- Not stated by the employer
- Experience
- Experience not stated
- Employer publication date
- 18 March 2026
- First recorded by Psst
- 14 October 2026
- Last checked at the source
- 10 November 2026
About the job
The company 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.
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- Open 8 months
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