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Key Responsibilities : - Design & Develop Microservices : Architect and develop scalable and robust backend services using Java, Spring Boot, and Microservices architecture. - Database Integration : Implement efficient data access and interaction using Hibernate ORM to work with relational databases (e.g., MySQL, PostgreSQL, Oracle). - API Development : Create, maintain, and optimize RESTful APIs for seamless communication between services. - Performance Optimization : Work on performance tuning and scaling of backend services to handle increasing traffic. - Collaborate with Frontend Developers : Work closely with frontend developers and ensure seamless integration of backend services with the UI layer. - Write Clean and Efficient Code : Adhere to coding standards and best practices to maintain high-quality, well-documented code. - Unit & Integration Testing : Write and maintain unit and integration tests to ensure the functionality and performance of the services. - Troubleshooting and Debugging : Troubleshoot issues in production and pre-production environments and work with cross-functional teams to resolve them. - Work with CI/CD : Contribute to the development of automated testing, deployment pipelines, and continuous integration systems.

Bangalore

LoadShare Networks - Software Development Engineer I - Microservices Architecture (2-5 yrs)

Responsibilities : - Lead, manage, and mentor a team of analysts, ensuring effective collaboration and successful delivery of analysis and reports. - Developing reports and analytics using data from data warehouse using Excel, SQL, Tableau, Python and other reporting/analytics tools. Provide consultative insights : - Analyze data to identify patterns and trends over time. - Compare data from different categories to identify relationships or correlations. - Applying statistical analysis to identify patterns and relationships in the data. - Provide context and explanations for the data by using visualizations and narrative Job description : - Proficiency in data analysis tools such as Excel, SQL, Python and data visualization software(e.g., Tableau, Power BI). - Review and QA data/report before it is provided to the client (internal/external) - Researches and identifies data quality issues. - Configures mapping tools to support translation from source data to desired format. - Includes testing of tool and providing clear documentation to internal resources and customer. - Train and develop junior team members, providing guidance and fostering a culture of continuous learning. - Experience with BI tools and the ability to build reports and dashboards for decision-makers. - Strong problem-solving skills and the ability to analyze and interpret complex datasets.

Data Analyst Lead - SQL/Python (3-9 yrs)

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