DATA ENGINEERING AND VISUALIZATION LEADER

P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

Dedication from Us:

You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. What we Offer: Continuous mentorship – work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment– employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.

About Us:
At AMA Skin Care, we provide innovative skincare solutions that enhance our customers' natural beauty. Our commitment to quality and customer satisfaction drives everything we do. We are looking for a passionate Data Engineering & Data Visualization Led to join our team and help us leverage data to improve our products and customer experiences.

Position Overview:
The Data Engineering & Data Visualization Lead will play a critical role in shaping our data strategy, developing scalable data pipelines, and creating insightful visualizations to support decision-making across the organization. Key responsibilities are as follows:

Data Engineering:

• Design, develop, and maintain scalable data pipelines using Microsoft Azure and Databricks for data ingestion, transformation, and storage.
• Implement best practices for data management, including data governance, security, and compliance.

Data Visualization:

• Lead the development of interactive dashboards and reports using Power BI Gen 2 that provide insights into business performance and market behaviour.
• Create compelling visualizations that communicate complex data in an accessible manner.

Technology and Innovation:

• Stay up to date with emerging trends and technologies in data engineering and visualization, particularly within the Microsoft Azure ecosystem.
• Evaluate and recommend new tools and technologies to enhance data capabilities within the organization.
• Drive innovation by exploring new methodologies for data analysis and visualization.