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.

Qualifications:

- Demonstrates breadth of applied IT skills across at least two IT job profiles.
- Applies Integrated Risk Management, IT Operations, IT Project Management, and Enterprise Architecture skills relevant to the work.
- Requires at least two relevant roles and experience managing or influencing people or organizations to achieve significant IT outcomes.
- Defines strategy and leads the delivery and transformation of business outcomes through IT within major sub-OU services, products, or programs.
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 approximately70 countries worldwide.

- Visit 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 Qualifications

- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience.
- 7+ years of experience in data engineering, with strong hands-on expertise in building and delivering Big Data solutions using Spark and Databricks.
- Proven experience designing and developing end-to-end data solutions, including architecture, coding, testing, deployment, and production support.
- Strong knowledge of modern data platform concepts and architectures, including Data Warehousing, Lakehouse, Data Mesh, and Data Quality.




- Knowledge in cloud technologies (Azure Cloud, Google Cloud) – at least 3 years inclusive of software engineering experience like API development
- Extensive knowledge of modern Big Data architecture: Data Warehousing, Lakehouse, Data Mesh, Data Quality, and semantic layer design.
- Fluency in Python (PySpark) and SQL, plus working knowledge of LLM orchestration frameworks (e.g. Lang Graph, Lang Chain or equivalent) and context engineering for data-facing agents
- Experience with orchestration and cloud data integration tools such as Airflow and Azure Data Factory.
- Hands-on experience with CI/CD pipelines, unit testing, API integrations, and contemporary software engineering practices across Agile and Dev Ops environments.
- Strong Understanding of AI-native operating model concepts — in the loop, on the loop, and governing the loop — and how they translate into data access and approval architecture.
- Ability to lead technical design discussions, drive solution decisions, and work as a hands-on technical lead within cross-functional and global teams.
- Strong verbal, written, and interpersonal communication skills, with the ability to collaborate effectively with technical and business stakeholders.
- Strong commitment to engineering excellence and delivering high-quality software through code reviews, testing, automation, and continuous improvement.

Job Schedule

Full time

Job Number

R000158699

Job Segmentation

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