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Data Engineer (Azure and PowerBI)

Data Engineer (Azure and PowerBI)

Procter & GambleKuala Lumpur, Kuala Lumpur, Malaysia
30+ hari lalu
Penerangan pekerjaan

Overview of the job

Would you like to harness the power of Information Technology through combining breakthrough technology and business consulting with our business teams?

Then a career in our P&G IT Function is just right for you!

As a Commercial IT Manager, you are accountable to deliver impactful customer solutions, ensure operational excellence and add measurable business value to P&G.

The work you do is challenging as we partner with our local and regional teams, external customers and distributors, and strategic vendors to lead technology, systems and scaled transformation across the region and globe.

Your team

This role reports to the Business Unit IT Leader & will be part of a multi-functional team working with Sales and Commercial teams in local / regional markets.

How success looks like

  • Solid understanding of business strategies, goals and processes, and how technology can positively impact them
  • Ability to develop in-depth business, domain, and systems knowledge for building relevant solutions and services
  • Ability to ensure service operations standards and drive continuous improvement
  • Excellent leadership, communication and collaboration skills with the ability to partner and work within diverse organizations and teams
  • Ability to lead agile IT innovation, bringing technological disruptions into the P&G ecosystem for better e-Business results
  • Strong problem-solving skills and demonstrated ability to handle multiple priorities
  • Ability to manage complexity and overcome challenges to drive transformation

Key Responsibilities

  • Develop and enhance dashboards and visualizations using PowerBI , including advanced DAX queries and Excel-based reporting
  • Build and maintain data models to support analytics, reporting, and operational decision-making
  • Design and implement efficient data pipelines and transformations using Azure Data Lake , Azure Databricks , and SQL .
  • Strong analytical and logical thinking, with a deep appreciation for data-driven problem-solving
  • Job Qualifications

    Required Skills and Qualifications :

  • Minimum 2 years of experience in a Data Engineering / Modelling role with strong technical orientation.
  • Proven expertise in :
  • PowerBI , including DAX and advanced Excel

  • SQL for data querying and transformation
  • Azure Data Lake and Azure Databricks
  • Preferred / Bonus Qualifications

  • PowerBI PL-300, Azure Databricks & other technical certifications
  • About us

    We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always, Ariel, Gillette, Head & Shoulders, Herbal Essences, Oral-B, Pampers, Pantene, Tampax and more. Our community includes operations in approximately 70 countries worldwide.

    Visit to know more.

    Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle : you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

    We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color , gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV / AIDS status, or any other legally protected factor.

    Job Schedule

    Full time

    Job Number

    Job Segmentation

    Experienced Professionals

    #J-18808-Ljbffr

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