Data Scientist - (Research Development & Engineering Area) - S
- Buenos Aires
- Permanente
- Tiempo completo
**Customers**: Research & Development, Global Growth, and Quality Assurance.**Key Responsibilities**:
**Data Collection and Integration**:- Collaborate with engineering and architecture teams to identify, collect, and harmonize data from various sources.
- 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.**Data Modeling and Warehousing**:- Develop and maintain data models and data warehouses using platforms like SQL Server, Azure Data Factory, Snowflake, and Databricks.**Data Quality and Standards**:- Implement data quality checks and validation frameworks to maintain high data standards.
- Build and maintain data development standards and principles, providing guidance and project-specific recommendations.**Analytics and Reporting**:- Build models that are interpretable, scalable, and meet business needs.
- Develop visualizations to demonstrate the results of data models to stakeholders and leadership, leveraging Microsoft Azure technologies.
- Test and validate analytics solutions to ensure data integrity and actual results meet expected results.**Collaboration and Mentorship**:- Work with principal architect, product owners, solution engineers, business customers, and other key stakeholders to translate requirements into technical designs.
- Mentor junior engineers and team members on data engineering techniques and best practices.
- Train and build the talent of business users to maximize the return on investment of the analytics solutions.**Agile and DevOps Practices**:- Use Agile methodologies and tools to deliver products in a fast-paced environment.
- Collaborate with platform teams to design and build automated processes for pipeline construction, testing, and code migration.**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 more than 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.**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 FlexThat 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:
**Who you are?****Mandatory**:- Bachelor’s degree required.
- Fluency in English
- 5+ years of experience in data engineering and designing, developing, and building solutions on platforms like.
- Strong Proficiency with SQL, API, Power Query and Microsoft Power BI.
- Experience with Data Factory and Data Bricks.
- Strong knowledge with data collection, analyses, cleaning to build reports for stakeholders.**Nice to have**:- Experience with Python.
- Exposure to SQL Server, and Databricks, HANA, Snowflake and Teradata.
- Proven track record in building and maintaining data pipelines, data warehousing, and data modeling.
- Strong communication skills, both oral and written, with the ability to convey complex technical concepts to non-technical stakeholders.
- Ability to work independently and collaboratively in a team environment.
- Familiarity with DevOps tools and practices for continuous integration and deployment.**Travel**: This position may require occasional travel (approximately 0-10% of work time).**To Be Considered**In the meantime
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