Full Stack Software Engineer (Python, Databricks)

Job Location

HYDERABAD OFFICE INDIA

Job Description

Are you looking to take your career to the next level?

We’re looking for a Software Engineer to join our Data & Analytics Core Data Lake Platform engineering team. We are searching for self-motivated candidates, who will use modern Agile and DevOps practices to craft, develop, test and deploy IT systems and applications, delivering global projects in multinational teams.

P&G Core Data Lake Platform is a central component of P&G data and analytics ecosystem. CDL Platform is used to deliver a broad scope of digital products and frameworks used by data engineers and business analysts. In this role you will have an opportunity to demonstrate data engineering abilities to deliver solutions enriching data cataloging and data discoverability for our users. With our approach to building solutions that would fit the scale P&G business is operating, we combine data engineering standard methodologies (Databricks) with modern software engineering standards (Azure, DevOps, SRE) to deliver value for P&G.

Responsibilities

• Writing and testing code for Data & Analytics applications and building E2E cloud native (Azure) solutions.
• Engineering applications throughout its entire lifecycle from development, deployment, upgrade, and replacement/termination
• Ensuring that development and architecture implement to established standards, including modern software engineering practices (CICD, Agile, DevOps)
• Collaborate with internal technical specialists and vendors to develop final products to improve overall performance, efficiency and/or to enable adaptation of new business processes. 
  
  

Qualifications

Job Qualifications

• Bachelor’s degree in computer science or related technical field.
• 4+ years of experience working as Software Engineer (with focus on developing in Python, PySpark, Databricks, ADF)
• Full stack engineering experience (Python/React/Javascript/APIs)
• Experience leveraging modern software engineering practices (code standards, Gitflow, automated testing, CICD, DevOps)
• Experience working with Cloud infrastructure (Azure preferred)
• Strong verbal, written, and interpersonal communication skills.
• A strong desire to produce high quality software through cross functional collaboration, testing, code reviews, and other best practices.
  
  

You Also Should Have

• Strong written and verbal English communication skills to influence others
• Proven use of data and tools
• Ability to balance multiple priorities
• Ability to work collaboratively across different functions and geographies
  
  

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 http://www.pg.com to know more.

We are an equal opportunity employer and value diversity at our company. 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, HIV/AIDS status, or any other legally protected factor.

"At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do.

All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.”

Job Schedule

Full time

Job Number

R000134777

Job Segmentation

Experienced Professionals (Job Segmentation)