Data Engineer - Superior Retail Execution
Pg- Location
- WARSAW PLANT · GO
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- —
Posted 1mo ago
Job Location
WARSAW PLANT & GO
Job Description
The Data Engineer is responsible for designing, developing, and implementing data and analytics cloud-based analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources.
Key Responsibilities
- Assemble large complex data sets which meet functional and non-functional business requirements.
- Partner with data asset managers, architects, and development leads to ensure a technical solution provides data which is fit for use and in line with architecture blueprints.
- Contribute to and leverage coding standards and best practices to ensure services and components are efficient and reusable.
- Identify, design, and implement internal process improvements.
Job Qualifications
- Bachelor's degree in Computer Science or related field.
- Experience in data engineering, data science, machine learning or related field.
- Proficiency with data architecture and data processing tools.
- Proficiency in Advanced Python Programming, Design Patterns, and FastAPI.
- Practical, hands-on experience with Apache Spark and Databricks.
- Solid background in building and maintaining CI/CD pipelines (e.g., GitHub Actions) complemented by experience in cloud environment operations and deployments (e.g., Azure)
- Familiarity with AI and ML concepts and frameworks
- Certifications: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, Professional Data Engineer - Google Cloud Platform (GCP).
We offer
- P&G-sized projects and access to world leading IT partners and technologies from Day 1.
- Wide range of self-development possibilities (training and certifications paths).
- Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).
- Regular salary increases and possible promotions - in line with your results and performance.
- Opportunity to change role every few years to be in the best place for you and best for P&G.
At Procter & Gamble, we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.
At P&G #weseeequal
We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.
We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.
Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.
Job Schedule
Full time
Job Number
R000156314
Job Segmentation
Experienced Professionals
Skills
- Go
- Machine Learning
- Python
- FastAPI
- Spark
- Databricks
- GitHub Actions
- Azure
- GCP
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