Ekfrazo Technologies - Azure Data Engineer - ETL/Data Warehousing

Role Overview : We are seeking an experienced Data Engineer to design, develop, and maintain enterprise-scale Data Warehouse solutions. The ideal candidate will be responsible for building robust data pipelines, optimizing data models, managing large-scale data platforms, and ensuring high-quality, trusted data assets that support analytics, AI, and business decision-making.Key Responsibilities : Data Warehouse Development : - Design, develop, and maintain enterprise Data Warehouse solutions.- Build and manage dimensional data models including Fact and Dimension tables.- Implement Star Schema designs.- Define and maintain enterprise data architecture standards.Data Engineering & ETL : - Design and build ETL/ELT pipelines for structured and unstructured data sources.- Develop scalable data ingestion, transformation, and integration frameworks.- Ensure data quality, integrity, reconciliation, and validation.- Implement automated data processing and orchestration workflows.Tech Stack : - Data Platforms : Azure Synapse Analytics, Azure Data Factory, Databricks, Azure Data Lake Storage (ADLS Gen2)- Programming Languages : Python, SQL, PySpark- Data Orchestration : Apache Airflow, Azure Data Factory PipelinesDesirable AI Capabilities : - Experience building data platforms for Generative AI and Machine Learning workloads.- Exposure to Vector Databases, Embeddings, and RAG techniques.- Familiarity with LLMs such as Azure OpenAI, Claude, or Gemini.