SR DATA ENGINEER (RESEARCH DEVELOPMENT & ENGINEERING AREA)

Sr Data Engineer (Research Development & Engineering area) Job Description Your Job You’re not the person who will settle for just any role.
Neither are we.
Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference.
Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands.
In your role, you’ll help us deliver better care for billions of people around the world.
It starts with YOU.
About Us Huggies®.
Kleenex®.
Cottonelle®.
Scott®.
Kotex®.
Poise®.
Depend®.
Kimberly-Clark Professional®.
You already know our legendary brands—and so does the rest of the world.
In fact, millions of people use Kimberly-Clark products every day.
We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you.
At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact.
We’re founded on 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity.
It’s all here for you at Kimberly-Clark; you just need to log on! Led by Purpose.
Driven by You.
About You You’re driven to perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring.
You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development.
You love what you do, especially when the work you do makes a difference.
At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results.
When you join our team, you’ll experience Flex That Works.
flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.
Kimberley-Clark is on a mission to transform our business with a focus on innovation velocity, speed to market, and becoming a data driven company.
We are looking for a hardworking, aspirational, and innovative engineering leader for the Senior Data Engineer position in our digital research Development software engineering team that will play a key role in helping us achieve our vision.
The Senior Data Engineer will play a diverse and far-reaching role across organizations providing leadership and influencing adoption of technical solutions, data processing, and design patters across multiple teams and partners within Kimberly-Clark.
Role will report to a Senior Manager in the DTS organization that supports the Kimberly Clark Research Development & Engineering business function.
Role will not have any direct reports.
Key Interfaces.
Product Owner, Functional Engineers, Business Customers, Data & Analytics teams, Solution Architects, Enterprise Architects, Analytics Designers, and Scrum Master.
External Interfaces.
Consultants and software vendors.
Travel may include approximately 0-10% of work time.
Main responsibilities.
* Understand the business problem, analyze the data, and define the success criteria.
* Work with engineering team and architecture teams for data identification and collection, harmonization, and cleansing for the data analysis and preparation.
* Responsible for analyzing and identifying appropriate algorithms for the defined problem statement.
* Analyze additional data inputs and methods that would improve the results of the models and look for opportunities.
* Responsible for building models that are interpretable, explainable and sustainable at scale and meets the business needs.
* Build visualizations and demonstrate the results of the model to the stakeholders and leadership team.
* Must be conversant with Agile methodologies and tools and have a track record of delivering products in a production environment.
* Lead the design of prototypes in our AI factory, partnering with product teams, AI strategists, and other stakeholders throughout the AI development life cycle.
* Lead and transform data science prototypes.
* Mentor a diverse team of junior engineers in machine learning techniques, tools and concepts.
Provides guidance and leadership to more junior engineers.
* Work with Technical Architects, Product Owners and Business teams to translate requirements into technical design for data modelling and data integration.
* Demonstrate deep background in data warehousing, data modelling and ETL/ELT data processing patterns.
* Design and develop ETL/ELT pipelines with reusable patterns and frameworks.
* Design and build efficient SQL to process and curate the data sets in Azure, Databricks, and Snowflake.
* Design and review data ingestion frameworks leveraging Python, Spark, Azure Data Factory, Snowpipe, etc.
* Design and build Data Quality models and ABCR frameworks to ingest, validate, curate and prepare the data for consumption.
* Understand the functional domain, business needs and able to identify the gaps in the requirements proactively prior to implementing solutions.
* Work with platform teams to design and build processes for automation in pipeline build, testing and code migrations.
* Demonstrate exceptional impact in delivering projects, products and/or platforms in terms of scalable data processing and application architectures, technical deliverables and delivery throughout the project lifecycle.
* Provide design and guiding principles on building data models and semantic models in Snowflake – enabling true self-service.
* Responsible for ensuring the effectiveness of the ingestion and data delivery frameworks and patterns.
* Build and maintain data development standards and principles, provide guidance and project specific recommendations as appropriate.
* Must be conversant with DevOps delivery approach and tools and have a track record of delivering products in agile model.
* Provide insight and direction on roles and responsibilities required for platform/ product operations.
Key Qualifications and Experiences.
* Bachelor's degree required.
* Fluent English for conversation to deal with English native-speakers in meetings and projects * 10+ years of experience in data engineering * Experience designing, developing, and building solutions on platforms such as HANA, Snowflake, Databricks, and Teradata.
* Experience with Azure Data Factory and Databricks is preferred.
* Experience in designing and building metadata-driven data ingestion frameworks, building SAP BO/Data Services, Databricks, Azure Data Factory, SnowSQL, Snowpipe – as well as building mini-batch, real-time, and event-driven data processing jobs.
* Experience with one or more programming languages such as Python, Java, and Scala is preferred.
Total Benefits Here are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark.
For a complete overview, see www.
ykcbenefits.
om.
Great support for good health with medical, dental, and vision coverage options with no waiting periods or pre-existing condition restrictions.
Access to an on-site fitness center, occupational health nurse, and allowances for high-quality safety equipment.
Flexible Savings and spending accounts to maximize health care options and stretch dollars when caring for yourself or dependents.
Diverse income protection insurance options to protect yourself and your family in case of illness, injury, or other unexpected events.
Additional programs and support to continue your education, adopt a child, relocate, or even find temporary childcare.
To Be Considered Click the Apply button and complete the online application process.
A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.
In the meantime, check out the career’s website.
You’ll want to review this and come prepared with relevant questions when you pass GO and begin interviews.
For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world.
We actively seek to build a workforce that reflects the experiences of our consumers.
When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise.
We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender, identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.
The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification.
Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.
Additional information about the compensation and benefits for this role are available upon request.
You may contact for assistance.
You must include the six digit Job # with your request.
This role is available for local candidates already authorized to work in the role’s country only.
Kimberly-Clark will not provide relocation support for this role.
Additional information about the compensation and benefits for this role are available upon request.
You may contact for assistance.
You must include the six digit Job # with your request.
This role is available for local candidates already authorized to work in the role’s country only.
Kimberly-Clark will not provide relocation support for this role.
Primary Location Brazil -Sao Paulo Additional Locations Worker Type Employee Worker Sub-Type Regular Time Type Full time