<p>Must Have Technical/Functional Skills</p> <ul> <li>4+ years of experience in full stack development using Node.js and JavaScript </li><li>Proficiency in RESTful APIs, HTML5, CSS3, and modern front-end practices </li><li>Hands-on experience with Azure SQL, Cosmos DB, and Data Lake Storage </li><li>Skilled in building ETL pipelines using Azure Data Factory </li><li>Experience with Azure Function Apps and Application Gateway </li><li>Familiarity with Redis Cache for performance optimization </li><li>Strong data visualization skills using Power BI </li><li>Experience with big data tools like Azure Databricks and Apache Spark </li><li>Knowledge of CI/CD pipelines, Git, and agile development practices </li><li>Excellent problem-solving and communication skills </li></ul> <p>Roles & Responsibilities</p> <p>Key Responsibilities:</p> <ul> <li>Design, develop, and maintain web applications using NodeJs and other relevant technologies. </li><li>Develop and manage databases using Azure SQL Database and Azure Cosmos DB. </li><li>Implement data storage solutions using Azure Data Lake Storage. </li><li>Create and manage data pipelines using Azure Data Factory. </li><li>Develop and integrate RESTful APIs. </li><li>Utilize Azure Function Apps for serverless computing. </li><li>Implement and manage application gateways and Redis Cache for optimized performance. </li><li>Develop and maintain Power BI reports and dashboards. </li><li>Collaborate with cross-functional teams to define, design, and ship new features. </li><li>Ensure the performance, quality, and responsiveness of applications. </li><li>Identify and correct bottlenecks and fix bugs. </li><li>Help maintain code quality, organization, and automation. </li></ul> <p>Data Engineering Responsibilities:</p> <ul> <li>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. </li><li>Develop data integration processes to ensure efficient data cleaning, transformation, and loading. </li><li>Utilize big data technologies like Azure Databricks and Apache Spark to handle and analyze large volumes of data. </li><li>Create data processing workflows and pipelines to support data analytics, machine learning, and other data-driven applications. </li><li>Ensure data quality and reliability by implementing data validation and monitoring processes. </li><li>Optimize data storage systems for scalability, performance, and cost-effectiveness. </li></ul> <p>Generic Managerial Skills, If any</p> <ul> <li>Ability to effectively work with stakeholders and business users to ensure technical solution meets business requirements </li></ul> <p>Base Salary Range: $70,000 - $110,000 per annum</p> <p>TCS Employee Benefits Summary:</p> <p>Discretionary Annual Incentive.</p> <p>Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.</p> <p>Family Support: Maternal & Parental Leaves.</p> <p>Insurance Options: Auto & Home Insurance, Identity Theft Protection.</p> <p>Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.</p> <p>Time Off: Vacation, Time Off, Sick Leave & Holidays.</p> <p>Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</p> <p>#LI-SP1</p>