Data Engineering Internship

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Job Description

About the AMA Data Solutions & Engineering Team:

We take pride in managing the most-valuable asset of company in Digital World, called Data. Our vision is to deliver Data as a competitive advantage for AMA Business, by building unified data platforms, delivering customized BI tools for managers & empowering insightful business decisions through AI in Data.

In this role, you'll be constantly learning, staying up to date with industry trends and emerging technologies in data solutions. You'll have the chance to work with a variety of tools and technologies, including big data platforms, machine learning frameworks, and data visualization tools, to build innovative and effective solutions.

So, if you're excited about the possibilities of data, and eager to make a real impact in the world of business, a career in data solutions might be just what you're looking for. Join us and become a part of the future of digital transformation.

About P&G IT:

Digital is at the core of P&G's accelerated growth strategy. With this vision, IT in P&G is deeply embedded into every critical process across business organizations comprising 11+ category units globally creating impactful value through Transformation, Simplification & Innovation. IT in P&G is sub-divided into teams that engage strongly for revolutionizing the business processes to deliver exceptional value & growth - Digital GTM, Digital Manufacturing, Marketing Technologist, Ecommerce, Data Sciences & Analytics, Data Solutions & Engineering, Product Supply.

Responsibilities of the role

• Understand the business requirements and convert into technical design of data pipelines and data models
• Write code to ingest, transform and harmonize raw data into usable refined models
• Analyze multiple data sets associated with the use cases in-scope in order to effectively design and develop the most optimal data models and transformation
• Craft integrated systems, implementing ELT/ ETL jobs to fulfil business deliverables.
• Performing sophisticated data operations such as data orchestration, transformation, and visualization with large datasets.
• Coordinate with data asset managers, architects, and development team to ensure that the solution is fit for use and are meeting vital architectural requirements.
• Demonstrate standard coding practices to ensure delivery excellence and reusability

About us

P&G was founded over 185 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 meaningful ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, 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'll be at the core of breakthrough innovations, be given exciting assignments, lead initiatives, and take ownership and responsibility, in creative work spaces where new ideas flourish. All the while, you'll receive outstanding training to help you become a leader in your field. It is not just about what you'll do, but how you'll feel: encouraged, valued, purposeful, challenged, heard, and inspired.

What we offer:

Continuous mentorship – you will collaborate with passionate peers and receive both formal training as well as day-to-day mentoring from your manager dynamic and supportive work environment– employees are at the centre, we value every individual and support initiatives, promoting agility and work/life balance.

Just so you know:

We are an equal opportunity employer and value diversity at our company. Our mission of diversity and inclusion is: "everyone valued. Everyone included. Everyone performing at their peak".

Job Qualifications

• At least 3 years of experience in Data Engineering
• Hands-on experience in building data models, data pipelines, data ingestion, harmonization along with data governance.
• Hands-on experience in scripting language like Python, R or Scala
• Backend Development expertise on SQL Database, SQL Data Warehouse or any data warehousing solutions in cloud
• Hands-on experience of reporting tools like Power BI or Tableau
• Knowledge in DevOps Tools and CICD tools (e.g. Azure DevOps and Github)
• Knowledge in cloud technologies (Azure Cloud) – at least 2 years inclusive of software engineering experience
• Knowledge in Agile or Scrum methodologies with proven track record of successful projects
• Graduate of Engineering or IT related course

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