DE&A - Core - Advanced Visualization & Cloud Reporting - Azure Analysis Services

Role Overview We are seeking a skilled Data Integration & Middleware Engineer to implement and manage scalable data pipelines and middleware solutions. The role will focus on orchestrating data workflows using Azure technologies such as Azure Data Factory (ADF), Azure Blob Storage, and Azure SQL Database, ensuring efficient ETL/ELT processing and high-quality data delivery. **Role Overview** We are seeking a skilled Data Integration & Middleware Engineer to implement and manage scalable data pipelines and middleware solutions. The role will focus on orchestrating data workflows using Azure technologies such as Azure Data Factory (ADF), Azure Blob Storage, and Azure SQL Database, ensuring efficient ETL/ELT processing and high-quality data delivery. **Key Responsibilities** - Manage **end-to-end data integration pipelines** using Azure Data Factory (ADF) - Orchestrate and monitor **data workflows**, ensuring reliability, performance, and error handling - Implement\ Manage **ETL/ELT processes** for data ingestion, transformation, and loading - Manage and optimize **data storage solutions** using Azure Blob Storage - Maintain **structured data models** in Azure SQL Database / Azure DB - Ensure **data quality, validation, and governance** across pipelines - Support **integration with on-premise and cloud-based systems** - Perform **performance tuning and cost optimization** across the data platform **Technical Skills Required** **Core Skills – Must Have** - Strong experience with **Azure Data Factory (ADF)** for orchestration - Hands-on experience with **ETL/ELT development** - Experience with **Azure Blob Storage / Data Lake** - Proficiency in **Azure SQL Database / SQL Server** - Understanding of **data warehousing concepts and data modeling** - Knowledge of **DevOps, CI/CD pipelines** for data workflows **Nice to Have** - Experience with **Azure Databricks or Synapse Analytics** - Knowledge of **data pipeline optimization and monitoring** - Familiarity with **API integrations and data connectors** - Exposure to **data governance and security practices** - Azure certifications (e.g., **AZ-900, DP-203**) - Experience with **real-time data processing frameworks** (Event Hub, Service Bus) **Soft Skills** - Strong analytical and problem-solving abilities - Clear communication and stakeholder management skills - Ability to work in a **collaborative, cross-functional environment** - Attention to detail and commitment to data quality ### Responsibilities **Key Responsibilities** - Manage **end-to-end data integration pipelines** using Azure Data Factory (ADF) - Orchestrate and monitor **data workflows**, ensuring reliability, performance, and error handling - Implement\ Manage **ETL/ELT processes** for data ingestion, transformation, and loading - Manage and optimize **data storage solutions** using Azure Blob Storage - Maintain **structured data models** in Azure SQL Database / Azure DB - Ensure **data quality, validation, and governance** across pipelines - Support **integration with on-premise and cloud-based systems** - Perform **performance tuning and cost optimization** across the data platform ### Qualifications Lead and Support Engineer ### About the Company At Zensar, we’re *“experience-led everything”*. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: *Together, we shape experiences for better futures*. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is *ONE with Client* - a set of four core values that reflect who we are and how we work: *One Zensar, Nurturing, Empowering, and Client Focus*. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore [Life at…