Consultant

Skill: AWS

• Provide Solution for all UI Development & Mid-tier & Data efforts and activities.

• Responsible for ensuring technical quality of implementation. POC for project tech leads to communicate issues and impediments.

• Coordinates all implementation efforts with supplier developers.

• Works in conjunction with project manager coordinating the releases.

• Ensures that coding standards are met and design patterns remain consistent.

• Performs code reviews on supplier code and collaborates with SMEs when necessary.

• Provide technical architecture details to project team.

• Tracks and takes action to resolve impediments, communicates and seeks assistance from Delivery Manager in a timely manner.

• Actively participate in retrospective meetings.

• Review developed code changes and new code to ensure it conforms with best practices.

• Communicate to the system manager, highlighting project risks and impediments in a timely manner.

• Responsible for converting UI Design specifications and prototypes into system design.

• Co-lead collaboration sessions with the BSAT test lead.

• Support PM with coordination to support groups, especially those with project dependencies.

Responsibilities:

• Developing and implementing data analyses, data collection systems and other strategies that optimize efficiency and quality.

• Exploring the data, performing analysis to assess quality and meaning of data in a readable format.

• Create multiple reports and dashboards based on the requirements from the stakeholders.

• Adept at queries, writing reports, and making presentations.

• Work with management to prioritize business and information needs.

• Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.

• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.

• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.

• Knowledge of data visualization software like Tableau.

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