Responsibilities
• Execute transformation of the in-house data architecture to streamline the flow and management of business data, build out analytics and visualization functions, and automate internal/external reporting with centralized data repositories and BI tools.
• Build data flows and pipelines with high resiliency and integrity controls.
• Adapt and migrate legacy reports to new BI platform.
• Work closely with business stakeholders and subject matter experts to understand the business needs and then develop, test and deploy the appropriate solution.
• Collaborate with the business technology division to adopt internal software engineering and data governance best-practices and ensure that delivered solutions comply with technology and security guidelines.
• Deploy and enhance solution(s) progressively using agile/scrum methodology to meet business needs in a timely and adaptive manner.
• Compile design and technical documentation on the solution(s).
• Produce user guides and conduct workshops to train or coach users through the application change management process.
• Manage and lead all unit testing, integration testing, user testing, regression and any other tests required for the new solution(s).
• Providing hands-on guidance to users on functional and technical issues.
Skills/Requirement
• Diploma/bachelor's degree in computer science, data science, software engineering or related fields.
• Atleast 1 years of relevant hands-on experience in requirements gathering, software development and database design is a plus.
• Hands-on experience with scripting on PowerShell, Python, etc.
• Writing SQL queries and working with MS SQL. Familiarity with data ETL and data warehouse/cubes is a plus.
• Any relevant experience with coding on web/app/server-side applications is a plus.
• Experience with source code management and deployment, agile development methodology, and DevOps.
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