Job Location
San JoséJob Description
We are seeking a Data Engineer with strong technical expertise and a commitment to best practices in data engineering. The ideal candidate ensures high standards of data quality, accuracy, and integrity, while demonstrating curiosity, continuous learning, and attention to detail.
The Data Engineer will design, develop, and implement cloud-based analytics platforms (DAP) and data pipelines that acquire, cleanse, transform, and publish data from diverse sources. This role requires close collaboration with technical teams and business stakeholders, as well as ownership of process documentation and reliable support when issues arise.
Key Responsibilities
Design and assemble large, complex data sets that meet functional and non-functional business requirements.
Partners with data asset managers, architects, and development leads to deliver data solutions aligned with architectural standards.
Develop and enforce coding standards and best practices to ensure efficient and reusable services.
Identify, design, and implement process improvements for scalability, reliability, and efficiency.
Create and maintain clear documentation for processes, pipelines, and procedures.
Provide troubleshooting and technical support, ensuring timely resolution of issues.
Job Qualifications
Must-Have Skills & Qualifications
Strong understanding of ETL processes to prepare data effectively for analysis.
Proven experience in data integration across multiple sources (e.g., Databricks), ensuring consistency and integrity.
Proficiency in Python, PySpark, and SQL.
Cloud experience with Azure, GCP, or AWS.
Bachelor’s degree in computer science or a related field.
Prior experience in data engineering, data science, or related discipline.
Familiarity with data architecture and data processing tools.
Excellent communication skills and ability to collaborate across technical and business teams.
Preferred Certifications
Azure Data Engineer Associate (DP-203)
Databricks Professional Data Engineer
Apache Spark Developer Associate
Google Cloud Professional Data Engineer
Important Note for Candidates:
Before submitting your application, we strongly encourage you to review the following material: Hiring Process and Assessment Information.
Familiarizing yourself with this content will help you be better prepared for the online assessments and enhance your chances of success.
What we offer!
We'll give you responsibilities as of Day 1 – you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities
You'll have continuous mentorship – you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager
We offer you to work and be part of a dynamic and supportive environment
We promote agility and work/life balance for employees, we value every individual and support initiatives, promoting.
We love flexibility. You can arrange your work schedule based on your personal needs.
We will let you experience true support for work/life effectiveness and your long-term well-being.
We will give you a competitive salary and benefits' package.
About us!
P&G serves consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®,Ambi Pur®, Ariel®, Bounty®, Charmin®, Crest®, Dawn®, Downy®, Fairy®, Febreze®, Gain®, Gillette®, Head & Shoulders®, Lenor®, Olay®, Oral-B®, Pampers®, Pantene®, SK-II®, Tide®, Vicks®, and Whisper®. The P&G community includes operations in approximately 70 countries worldwide. Please visit www.pg.com for the latest news and information about us and our brands.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Job Schedule
Full timeJob Number
R000133004Job Segmentation
Experienced Professionals