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 this role, you'll help us deliver better care for billions of people around the world. It starts with YOU.
In this role, you will:
Play a pivotal role in designing and building analytics solutions to facilitate informed decision-making. You will work closely with various RD and DTS technology teams to design and implement scalable data pipelines, design analytics within RD solutions, and ensure the accuracy and availability of data for analytics and reporting. Primary focus of the position is to design, develop, and maintain analytics solutions. Kimberly-Clark is seeking a motivated and skilled data scientist to join our dynamic team. Customers: Research Development, Global Growth, and Quality Assurance.
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Collaborate with engineering and architecture teams to identify, collect, and harmonize data from various sources.
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Design and develop ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines to process and curate data sets using technologies such as SQL Server, Azure Data Factory and Databricks.
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Develop and maintain data models and data warehouses using platforms like SQL Server, Azure Data Factory, Snowflake, and Databricks.
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Apply metadata-driven frameworks to ensure scalable data ingestion and processing.
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Implement data quality checks and validation frameworks to maintain high data standards.
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Build and maintain data development standards and principles, providing guidance and project-specific recommendations.
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Build models that are interpretable, scalable, and meet business needs.
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Develop visualizations to demonstrate the results of data models to stakeholders and leadership, leveraging Microsoft Azure technologies.
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Test and validate analytics solutions to ensure data integrity and actual results meet expected results.
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Work with principal architect, product owners, solution engineers, business customers, and other key stakeholders to translate requirements into technical designs.
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Mentor junior engineers and team members on data engineering techniques and best practices.
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Train and build the talent of business users to maximize the return on investment of the analytics solutions.
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Use Agile methodologies and tools to deliver products in a fast-paced environment.
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Collaborate with platform teams to design and build automated processes for pipeline construction, testing, and code migration.
Led by Purpose. Driven by You
About You
You 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 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.
In one of our professional roles, you'll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications:
Key Qualifications and Experiences:
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bachelors degree required, 5+ years of experience in data engineering and designing, developing, and building solutions on platforms.
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Strong Proficiency with SQL, API, Power Query and Microsoft Power BI.
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Experience with Data Factory and Data Bricks.
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Strong knowledge with data collection, analyses, cleaning to build reports for stakeholders.
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Experience with Python.
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Exposure to SQL Server, and Databricks, HANA, Snowflake and Teradata.
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Proven track record in building and maintaining data pipelines, data warehousing, and data modeling.
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Strong communication skills, both oral and written, with the ability to convey complex technical concepts to non-technical stakeholders.
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Ability to work independently and collaboratively in a team environment.
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Familiarity with DevOps tools and practices for continuous integration and deployment.
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Fluency in English
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This position may require occasional travel (approximately 0-10% of work time)
