Developer

Skill: Senior Java cloud developer

• Develop, create, and modify computer applications software according to specifications.

• Collaborate with stakeholders and cross functional teams to analyze user needs and design software solutions.

• Design, develop, and implement micro service-based applications using Java, Spring MVC and Maven. Build REST endpoints and APIs to facilitate communication between Micro services and client applications.

• Web application development and design using Core Java, J2EE, Spring framework, Spring MVC, Rest API, Maven, JDBC, SQL, HTML, JavaScript and jQuery.

• Develop Full Software Development Life Cycle (SDLC) that includes Analyzing, Designing, Coding, Testing, Implementation and Production Support as per quality standards using Agile Methodology.

• Collaborate with cross-functional teams to understand requirements and design scalable solutions.

• Develop SQL and relational database management systems (RDBMS) including installation, configuration, and maintenance. Collaborate with stake holders to design and optimize database schemas and queries for efficient data access.

• Develop Databases that involves writing SQL queries and Stored Procedures.

• Design, deploy, and enhance cloud infrastructure and services on the Microsoft Azure platform. Collaborate with architects and developers to design scalable and resilient cloud solutions.

• Experience in design and implementing of Azure Infrastructure as a Service (IaaS) cloud computing methodology by utilizing the key azure services.

• Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform using Azure Data Factory, Azure Data Bricks, Azure blob storage, Azure Monitor, Application Insights, Azure Key Vault, Docker Images, FunctionApps and API Management Services.

• Experience in writing terraform code to develop and deploy cloud resources.

• Implement security best practices and compliance standards for Azure environments using Key Vault.

• Monitor and optimize Azure resources for performance, cost, and reliability.

• Automate Data Extraction using ETL data model (Extract, Transform and Load) using Data factory, Data bricks, Notebook, Spark Data frame written in PYTHON, with parallel/batch operation.

• Analytical and problem-solving skills on big data environment and data ingestion using Python scripting, Spark SQL PySpark using databricks.

• Design and implement a robust data integration strategy, seamlessly connecting Snowflake and Azure data platforms.

• Develop CI/CD pipelines on Azure resource deployment to go-live environments along with branching strategies, GIT Code Repositories.

• Implementation and optimization of API Management to streamline the end-to-end API lifecycle.

• Follow coding and design best practices.

• Assist in Post Production Support Procedures.

• Comply with industry standards and organizational requirements relative to specific methodologies.

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