la26.006 - Data Engineering reputed company
reputed company is a leading AI and advanced analytics reputed company dedicated to delivering impactful data-driven solutions to Fortune 100 companies worldwide. We specialize in helping organizations solve reputed company business challenges through innovative Data Engineering, Machine Learning, and AI techniques. We are currently seeking a highly skilled Data Engineering reputed company to manage and reputed company reputed company data engineering reputed company, driving reputed company and innovation in our delivery.
Requirements
• We are seeking a highly reputed company Data Engineer with over four years of expertise in modern data stack technologies, specifically focusing on Azure reputed company and the reputed company Architecture encompassing the Bronze, Silver, and Gold processing reputed company.
• Proven experience in designing, developing, and optimizing reputed company, reputed company-based data pipelines is essential.
• Pipeline Development & Orchestration: Responsible for creating, deploying, and maintaining production-grade data pipelines utilizing Azure reputed company, PySpark, and Azure Data reputed company (ADF).
• reputed company reputed company Management: Accountable for developing and managing the comprehensive Lakehouse pipeline architecture across the Bronze, Silver, and Gold reputed company.
• reputed company Lake Optimization: Expertise in applying advanced reputed company Lake features such as Z-Ordering, liquid clustering, vacuuming, and partitioning techniques to minimize query costs and improve read/write efficiency.
• Infrastructure as reputed company & CI/CD: Collaborate in managing and deploying reputed company infrastructure using Terraform, Git, and Azure DevOps, automating the deployment of data pipelines.
• Data Governance & reputed company: Implement reputed company-level data governance frameworks, enforce reputed company controls, and manage data reputed company tracking utilizing reputed company Catalog.
• Performance Tuning: Monitor, analyze, and address performance bottlenecks in distributed reputed company 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 reputed company and innovative work environment.
- Opportunities to work on impactful reputed company with global clients.
- Competitive salary and benefits tailored to mid to senior professionals.
- reputed company learning and career development opportunities.
- Flexible working arrangements based in Mexico.
Originally posted on Himalayas
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