Azure Data Engineer

We are looking for candidates with strong technical expertise to fill this role. Below are the details of the position: 🏦 Industry: 💼 Job Title: Azure Data Engineer 💻 Mode of Job: Remote 📅 Contract: 6 months Job Summary: We are seeking a highly skilled Azure Data Engineer / Architect with deep expertise in designing, implementing, and optimizing OLTP systems and cloud-based data architectures. The ideal candidate will have strong technical proficiency across Azure data services, distributed systems, and performance-driven database solutions that support large-scale, real-time applications. Key Responsibilities: • OLTP System Design: Architect, implement, and support high-performance OLTP (Online Transaction Processing) systems ensuring scalability, consistency, and reliability. • Azure Data Ecosystem: • Design and maintain data models using Azure Cosmos DB for distributed, low-latency workloads. • Manage Azure SQL databases, including schema design, query optimization, and data security. • Develop and orchestrate data pipelines in Azure Data Factory for ETL/ELT workflows. • Utilize Azure Databricks for large-scale data processing, analytics, and collaborative development using Spark. • Implement Redis-based caching layers to enhance application responsiveness and throughput. • Collaborate with product, application, and analytics teams to align database architecture with business and data needs. • Establish best practices for data governance, performance tuning, and disaster recovery. • Monitor, troubleshoot, and optimize system performance and cost across Azure services. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. • 5+ years of experience in data engineering or cloud database architecture, with proven hands-on expertise in OLTP systems. • Advanced knowledge of Azure cloud services including Cosmos DB, Azure SQL, Data Factory, Databricks, and Redis. • Strong understanding of ETL processes, distributed systems, and data performance optimization. • Proficiency in SQL, Python, and Spark for data processing and automation. • Experience implementing security, compliance, and monitoring in cloud data environments. • Excellent problem-solving, documentation, and communication skills.