Data Engineer

• Work with business teams to understand the business needs and howemerging technologies can be leveraged.
• Ideation, conceptualization & analysis of Digital opportunities across the valuechain including manufacturing, supply chain, workplace & customerexperience.
• Work closely with vendors for planning, executing & supporting Digitalprojects.
• Working closely with end users and understand the use case in question.
• Design and implement the use case.

2) Creation and implementing cloud-based architecture.

• Hands on experience in Python programming and deploying ML models.

3) Creation and implementing of advanced analytics use cases.

• Working closely with end users and understand the use case in question.
• Design and implement the use case.

4) Collaboration with internal and external teams

• Ability to collaborate on a team with infrastructure, BI report developmentand business analyst resources and clearly communicate solutions to bothtechnical and non-technical team members. Design and implement the usecase.
• Coordinate with vendors and bridge the gap amongst teams.

5) Create Presentation / Proposal on Value proposition.

• Create high quality presentations and value proposition to create stakeholderbuy-in
• Engage with internal stakeholders to evangelize the benefits of Digitaltechnologies and drive cultural change.