Data Engineer

Job Location

HYDERABAD OFFICE APAC

Job Description

Procter & Gamble is one of the largest FMCG (Fast Moving Consumer Goods) company in the world with strong brands like Pampers, Ariel, Always, Gillette and Oral B just to name a few. For more information about P&G the company and our brands please visit www.pg.com and our career website at pgcareers.com

Are you ready to unleash your technical creativity?

Innovation is the driving effort behind everything we do at P&G. Across the world, you will find thousands of scientists, engineers and developers working in manufacturing plants, innovation centers and distribution facilities.

Overview Of The Job

This role reports to IT Director and will be located in India with the broader Data Engineering Team.

Your team

About The 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 our Business, by building unified data platforms, delivering customized BI tools for managers & empowering insightful business decisions through AI in Data.

In this role, youll be constantly learning, staying up to date with industry trends and emerging technologies in data solutions. Youll 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 youre 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 youre 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
  
  

• A wide range of challenging manufacturing/engineering assignments in one of the most influential companies in the world. We don’t just offer a job; we offer a career with varying assignments and lots of development opportunities
• An opportunity for you to develop and deliver state of the art technologies supported by multi-million capital investments.
• Travel opportunities to the project locations to see your design come to life
• Continuous coaching– you will work with passionate people and receive both formal training as well as day-to-day mentoring from your coach and manager
• Dynamic and respectful international work environment– employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance.
• A competitive compensation package, in line with your qualifications and experience
  
  

• 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.
• Cloud Native application development using Angular and .Net.
• Knowledge in Agile or Scrum methodologies with proven track record of successful projects
• Graduate of Engineering or IT related course