la26.006 - Data Engineering Lead
Auto Importreputed company 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 reputed company and the reputed company 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 reputed company, PySpark, and Azure Data Factory (ADF). • reputed company Framework Management Accountable for developing and managing the comprehensive Lakehouse pipeline architecture across the Bronze, Silver, and Gold layers. • 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 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 reputed company tracking utilizing reputed company 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 reputed company and written, is required for effective communication. • Working hours are from 800 AM to 500 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. Originally posted on Himalayas Apply To This Job