Senior Data Engineer

Job Location

Bucharest

Job Description

IT at P&G

IT at Procter & Gamble is where business, innovation and technology integrate to create a competitive advantage for P&G. Our mission is clear -- we deliver IT to help P&G win with consumers. As a P&G IT professional, you are a diverse business leader who applies IT mastery to deliver game-changing, technology-driven business models and capabilities. Whether your role is to create an IT innovation strategy for a business, protect our critical information systems and assets, or manage a strategic supplier in our cutting-edge shared services organization, your technical mastery will be recognized and rewarded. Your passion for the industry will be further cultivated by our culture of continued learning and growth as an IT professional. Your career in IT builds change in leadership and influence skills, breadth of experience across multiple businesses, and depth of expertise in areas like Application & Integration, Infrastructure, Data & Analytics, and Security & Risk.

The Opportunity

We are looking for a driven, naturally curious Senior Data Engineer to join our Digital Experiences team delivering cloud native Big Data solutions within our global Media ecosystem. Our engineering teams work with data on a massive scale and are responsible for the design, development, and continuous innovation of best-in-class solutions supporting P&G as one of the largest digital advertisers in the world.

As a Senior Data Engineer you will:

• Work as a key member of a multi-disciplinary product team including engineers, product managers, and designers delivering innovative digital solutions following Agile & DevOps best practices.
• Lead the design and development of cloud native and high-performance Big Data solutions to real business problems variety of technologies including Python, Google Cloud, and more.
• Work with advanced analytics technologies to solve data and computation challenges at a large scale (including Petabyte scale solutions).
• Lead translation of business requirements to detailed technical designs.
• Lead technical research, prototyping, estimation, options analyses, and proposals related to the data-intensive components of business, software and technology objectives.
• Write and review testable, efficient code ensuring all code complies with company and industry standards for quality and security.
• Contribute to reusable data processing patterns and code to drive scale and productivity across engineering teams.
• Invest in the growth of other engineers through mentoring, knowledge-sharing, tech talks, pair programming and/or other means.
• Actively participate in sprint planning, daily stand-ups, sprint reviews, and retrospective meetings, ensuring deliverables are met within the agreed timelines.

The Ideal Candidate is:

First and foremost a problem solver, driven by curiosity, growth and a desire to make things better. You are very comfortable writing code, debugging, and working hands-on. You are excited and not discouraged by working in the unknowns, with a passion for continuous learning and developing your own breadth and depth of technical knowledge, applying that knowledge to solve business problems. You have a strong foundation in Computer Science fundamentals, software engineering best practices, and cloud development. You take pride in the quality of solutions that you build and strive to make everything automated, testable, and scalable. You work collaboratively with others on your team and across different teams, are interested learning from others, and have a desire to share your knowledge with the broader internal software engineering community.

Job Qualifications

Required:

• 3+ years of professional software development experience with modern programming languages including Python, Spark, or Java.
• 2+ years of experience contributing to data modeling or architecture.
• Effective oral and written communication in English
• Experience using source control management (git) to collaboratively build software: branching, merging, code reviews.
• Ability to communicate technical concepts to teammates and non-technical colleagues.

Preferred:

• Professional certification or Degree in Computer Science, Informatics, Engineering or related field
• 5+ years of experience building enterprise-grade data processing systems.
• GCP Professional level certification or 2+ years building cloud solutions on GCP, AWS, or Azure
• 2+ years professional experience driving engineering best practices including documentation, coding standards, code reviews, source control management, CI/CD, testing automation, and operations.
• Strong English communication and interpersonal skills
• Strong data analysis and debugging skills.

Job Schedule

Full time

Job Number

R000108295

Job Segmentation

Experienced Professionals (Job Segmentation)