Full Stack Developer - Python/Javascript (4-8 yrs)

Main skills :

- Experience with Python, Flask, PHP and MySQL, MongoDB, HTML 5, CSS, Java Script, Bootstrap, Ajax and jQuery.

- Plan, conduct, and direct the business problem analysis to be solved with IT systems.

- Lead joint Application Design Sessions to gather requirements from stakeholders.

- Coordinate with Development Team members throughout the software development lifecycle (SDLC).

- Develop REST API services using python flask library

- Should have good knowledge frontend like in HTML, CSS, Javascript

- Decompose high-level business and user requirements into well-written User Stories, requirements documents, process flows and user acceptance testing scenarios.

- Work with the product owner to complete user acceptance testing.

- Provide data analysis, data validations and troubleshooting issues using SQL, MongoDB queries.

- Coordinate with business units and departments to deliver data aggregations to GOE executives, business analysts for analysis to aid in ongoing operations.

- Involved in building analytical tools that utilize data pipelines to provide actionable insights to customer acquisition and operational efficiency.

- Contributed from design to implementation and maintenance phase of the application in AGILE environment/methodology.

- Design the data pipeline Communication between the external API's and the Glasocean CSP and vice versa.

- Validate external customer critical data import and export processes, for data accuracy, consistency, and performance.

- Perform through testing and validation on implemented communication with external Web APIs and REST APIs. Implement scripts to maintain and monitor customer databases.

- Responsible for database maintenance, monitoring, performance tuning and so forth by implementing automation scripts.

- Build technical architecture of application and document design in high level and low-level design documents.

- Perform the Database Testing for validating the data from backend using complex SQL and mongo queries to improve the performance of services.