Senior Data Engineer

hace 4 semanas

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

As a Senior Data Engineer at Kimberly-Clark, you will play a key role in helping us achieve our vision of becoming a data-driven company. You will be responsible for designing, developing, and building solutions on platforms such as HANA, Snowflake, Databricks, and Teradata. Your expertise in data warehousing, data modeling, and ETL/ELT data processing patterns will be essential in delivering scalable data processing and application architectures.

Main Responsibilities
  • Understand the business problem, analyze the data, and define the success criteria.
  • Work with engineering teams 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.
  • 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 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 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.

Total Benefits

Kimberly-Clark offers a comprehensive benefits package, including medical, dental, and vision coverage options with no waiting periods or pre-existing condition restrictions. We also offer flexible savings and spending accounts to maximize healthcare options and stretch dollars when caring for yourself or dependents. Additionally, we provide diverse income protection insurance options to protect yourself and your family in case of illness, injury, or other unexpected events. Our benefits package also includes 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 careers website. You'll want to review this and come prepared with relevant questions when you pass GO and begin interviews.

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