Azure Data Engineer

Data Modeling: Design and develop data models for Azure-based data solutions, including data lakes, data warehouses, and data pipelines. Data Architecture: Collaborate with data architects and engineers to define data architecture patterns and best practices for Azure. Data Ingestion: Create data ingestion strategies, ensuring data is collected, processed, and stored efficiently. ETL Processes: Develop and optimize Extract, Transform, Load (ETL) processes to move and transform data within Azure environments. Data Quality: Implement data quality checks and data cleansing processes to maintain data accuracy and integrity. Data Governance: Ensure compliance with data governance and security policies, including access controls and encryption. Performance Optimization: Identify and resolve performance bottlenecks in data models, queries, and data processing. Documentation: Maintain comprehensive documentation of data models, schemas, and data flow diagrams. Collaboration: Work closely with cross-functional teams, including data engineers, data scientists, and business analysts, to understand data requirements and deliver data solutions. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications (e.g., Azure Data Engineer, Azure Data Scientist) are a plus. Minimum of [X] years of experience in data modeling and data engineering, with a focus on Azure. Proficiency in data modeling tools and languages (e.g., SQL, Azure Data Factory, Azure Databricks, Power BI). Strong understanding of data warehousing, data lake architecture, and data integration concepts. Knowledge of Azure services related to data (e.g., Azure SQL Data Warehouse, Azure Data Lake Storage, Azure Synapse Analytics). Effective problem-solving and analytical skills. Excellent communication and teamwork skills. Additional Skills (Preferred): Experience with big data technologies and NoSQL databases (e.g., Azure Cosmos DB). Familiarity with data science and machine learning concepts. Knowledge of data governance and compliance standards (e.g., GDPR, HIPAA). Scripting and programming skills (e.g., Python, PowerShell). Benefits: Competitive salary package Health, dental, and vision insurance Retirement savings plan Opportunities for career growth and professional development A collaborative and innovative work environment