Data Engineering Senior Manager - Consumer Data Platform
Procter & Gamble is hiring a Data Engineering Senior Manager - Consumer Data Platform. Level rates it ; you can apply on Procter & Gamble.
Level's read on this job
- Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions Google Cloud Platform, BigQuery and Cloudsql among its tools and skills.
- Level classes it as a lead role.
- Procter & Gamble has 873 other open roles on Level.
AI in this role
Senior Data Engineer managing global consumer data platforms and pipelines on Google Cloud Platform at P&G.
Job Location
MANILA NET PARK OFFICEJob Description
At P&G, your career is built to scale with our iconic brands like Ariel®, Safeguard ®, Tide ®, Head & Shoulders®, Old Spice®, and Vicks®.
Ready to join the team that powers our iconic brands? Here’s what you’ll be doing:
Overview of the job
Join us as a Senior Data Engineer responsible for working with global first party Consumer Data Platform. You will work with engineering, operations and product leaders to ensure that our Consumer Data Platform opens new business opportunities while securing and governing our consumer’s personal data.
Your team
Reporting to the Engineering Director, you’ll be part of a global, dynamic IT team at P&G. Our team is responsible for working across all P&G brands across the world and managing their first party engagement leveraging cutting edge-technologies across event-driven architecture, integrations across multiple systems and big-data analytics.
What success looks like
- Transform product requirements into high-quality software features.
- Lead the design and development of the data platform in Google Cloud Platform.
- Mentor junior developers and keep yourself up to date with the latest technologies.
Responsibilities of the role
- Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments.
- Data Transformation: Implement data transformation processes, including data cleansing, normalization, streaming schema validation and aggregation, to ensure data quality, completeness and consistency.
- Data Modeling: Develop and maintain data models and schemas to support efficient data storage and retrieval in Google Cloud platforms using multiple database technologies – CloudSQL, BigQuery and Cloud Spanner.
- Data Warehousing: Build data warehouses or data lakes using Google Cloud services such as Big Query.
- Data Integration: Integrate data from multiple sources using integration tools like Managed Airflow, Dataflow, Dataform or other relevant tools.
- Data Governance: Implement data governance practices, including data security, privacy, and compliance, to ensure data integrity and regulatory compliance.
- Performance Optimization: Optimize database performance, balancing both scale and cost to ensure efficient data operations.
- Monitoring and Troubleshooting: Monitor database performance using the latest observability tools and troubleshoot data-related problems in collaboration with other teams.
- Data Visualization: Build data structures to support responsive front ends and build our data dashboards and reports to enable faster decision making
- Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation
- Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing.
Job Qualifications
Job Qualifications
- Experience: Bachelor's or master's degree in computer science, data engineering, or a related field, along with 5+ year work experience in data engineering and cloud platforms. Previous experience in a senior or lead engineering role.
- Google Cloud Development: Strong proficiency in Google Cloud services such as Spanner, BigQuery, Cloud Composers or equivalent experience in other cloud-environments
- ETL Tools: Experience with ETL (Extract, Transform, Load) tools and frameworks, such as Spark, Dataflow and Cloud Composer/Airflow for data integration and transformation.
- Programming: Proficiency in programming languages such as Python, Java and SQL for data manipulation, scripting, and automation.
- Data Modeling: Knowledge of data modeling techniques and experience with data modeling tools.
- Relational Database Technologies: Familiarity with relational databases (e.g., Cloud SQL, Cloud Spanner) for efficient data storage and retrieval.
- Data Warehousing: Understanding of data warehousing concepts, dimensional modeling, and experience with data warehousing technologies such as Big Query.
- Data Governance: Knowledge of data governance principles, data security, privacy regulations (e.g., GDPR, CCPA), and experience implementing data governance practices.
- Data Visualization: Experience of working with Looker Studio/PowerBI or other reporting tools to build semantic data model & BI reports/dashboards.
- Cloud Computing: Familiarity with cloud computing concepts and experience working with cloud platforms, particularly Google Cloud Platform.
- Problem-Solving: Strong analytical and problem-solving skills to identify and resolve data-related issues. Proficiency in DevOps Tools and CICD tools (e.g. Terraform, Github)
Scale your career with P&G
We provide avenues to scale your expertise and technological proficiency.
As an experienced hire, you are empowered to scale your impact and go beyond being a developer with opportunities to lead, guide, and collaborate on transformative projects that power our brands.
We are committed to scale your personal growth alongside the company’s success. Here’s what’s on the table:
- Performance bonus (STAR program) that rewards managers in light with business results achieved.
- Thrive at work and your personal life through our flexible work schedule with available work from home arrangements.
- Your well-being is non-negotiable and supported by health insurance, fitness support, and an Employee Assistance Program.
Learn more about what’s in store for you at https://www.pgcareers.com/ph/en/benefits.
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.
Job Schedule
Full timeJob Number
R000149624Job Segmentation
Experienced ProfessionalsHow we rate this
Data Engineering Senior Manager - Consumer Data Platform at Procter & Gamble rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Pay
- Typical data engineer job
- $145k
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- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
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- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
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- List these exact terms on your resume: Data Engineering, Data Pipelines, Data Modeling, Data Governance, and ETL. An applicant tracking system matches the wording, not the idea.
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