Lead Data Engineer & Visualization

Job Purpose

This position will deliver high quality business intelligence, analytics and reporting capabilities to the business.

This role serves as a key liaison with applications team and operational teams to support their reporting and analytic needs by gathering requirements, prototyping, and architecting, as well as testing and delivering capabilities.

This role partners with stakeholders across IT and business units to develop business solutions and generate insights by leveraging analytics resources, tools, and methods.

Contributes to strategic IT plan on ways BI and analytics can transform the business, providing scalable solutions that drive impact to current and future operating models.

Work Experience: 4 - 5 years

Qualification: Bsc IT/ BE/B.Tech

Job Location: Prabhadevi, Mumbai

Key Result Areas

KRA (Accountabilities)Supporting Actions

KRA1 Continuous improvement and competency development

• Collaborating with stakeholders to get inputs on usage and improvements required.
• Conduct refresher courses
• Share technical and best practice process knowledge.
• Set up a platform for knowledge sharing of best practices.
  
  

KRA2 Manage application operations and reliability

• Partner with application teams and service providers to driver highest level of support services
• Develop and utilize new processes and/or strategies to improve adoption of applications and/or make the business more efficient
• Provide technical support in the diagnostics and restoration of services as required
• Define metrics and measure system usage and process adherence
• Provide responsive action to any high criticality operational incidents and manage resolution.
• Identify and manage data quality risks and define mitigation/remediation process to ensure highest quality solutions
  
  

KRA3 Build and maintain Data Lake platform

• Develop and maintain architecture & standards for data lake platform.
• Implement a data catalog of enterprise data assets and characteristics.
• Supervise the use of data modeling tools and technologies.
• Document how data flows from its origination and acquisition points
• Ensure compliance with data quality and protection policies.