Senior Data Engineer

hace 1 semana


Partido de Vicente López, Argentina Kimberly-Clark A tiempo completo
About the Role

We are seeking a highly skilled Senior Data Engineer to join our Digital Research Development software engineering team. As a key member of our team, you will play a diverse and far-reaching role across organizations, providing leadership and influencing adoption of technical solutions, data processing, and design patterns across multiple teams and partners within Kimberly-Clark.

Key Responsibilities
  • Understand business problems, analyze data, and define success criteria.
  • Work with engineering teams and architecture teams for data identification, collection, harmonization, and cleansing for data analysis and preparation.
  • Responsible for analyzing and identifying appropriate algorithms for defined problem statements.
  • Analyze additional data inputs and methods that would improve model results and look for opportunities.
  • Responsible for building models that are interpretable, explainable, and sustainable at scale and meet business needs.
  • Build visualizations and demonstrate model results to stakeholders and leadership teams.
  • Must be conversant with Agile methodologies and tools and have a track record of delivering products in a production environment.
  • Lead 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 diverse teams of junior engineers in machine learning techniques, tools, and concepts.
  • Work with Technical Architects, Product Owners, and Business teams to translate requirements into technical design for data modeling and data integration.
  • Demonstrate deep background in data warehousing, data modeling, 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 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 data for consumption.
  • Understand functional domain, business needs, and identify gaps in 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 effectiveness of 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 an 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.
About Kimberly-Clark

Kimberly-Clark is a leading global healthcare and consumer products company with a rich history of innovation and commitment to sustainability. We are dedicated to delivering better care for a better world, and we are seeking talented professionals like you to join our team.

What We Offer

We offer a comprehensive benefits package, including medical, dental, and vision coverage options, flexible savings and spending accounts, diverse income protection insurance options, and additional programs and support for your education, adoption, relocation, and childcare needs.

How to Apply

To be considered for this role, please 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.


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