Microsoft Azure Full Stack Developer

About the Role

Key Responsibilities

• Design, develop, and maintain web applications using NodeJs and other relevant technologies.
• Develop and manage databases using Azure SQL Database and Azure Cosmos DB.
• Implement data storage solutions using Azure Data Lake Storage.
• Create and manage data pipelines using Azure Data Factory.
• Develop and integrate RESTful APIs.
• Utilize Azure Function Apps for serverless computing.
• Implement and manage application gateways and Redis Cache for optimized performance.
• Develop and maintain Power BI reports and dashboards.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automation.
• Design, implement, and manage ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes using Azure Data Factory.
• Develop data integration processes to ensure efficient data cleaning, transformation, and loading.
• Utilize big data technologies like Azure Databricks and Apache Spark to handle and analyze large volumes of data.
• Create data processing workflows and pipelines to support data analytics, machine learning, and other data-driven applications.
• Ensure data quality and reliability by implementing data validation and monitoring processes.
• Optimize data storage systems for scalability, performance, and cost-effectiveness.

Requirements

• 4+ years of experience in full stack development using Node.js and JavaScript.
• Proficiency in RESTful APIs, HTML5, CSS3, and modern front-end practices.
• Hands-on experience with Azure SQL, Cosmos DB, and Data Lake Storage.
• Skilled in building ETL pipelines using Azure Data Factory.
• Experience with Azure Function Apps and Application Gateway.
• Familiarity with Redis Cache for performance optimization.
• Strong data visualization skills using Power BI.
• Experience with big data tools like Azure Databricks and Apache Spark.
• Knowledge of CI/CD pipelines, Git, and agile development practices.
• Excellent problem-solving and communication skills.

Nice to Have

• Experience working with stakeholders and business users to ensure technical solutions meet business requirements.

Qualifications

• No specific formal educational qualifications specified in the description.

Benefits & Perks

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.