Senior Data Engineer

hace 4 días


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 team in Brazil. The ideal candidate will have a strong background in data engineering and be able to lead the design, development, and implementation of data processing systems.

Job Description
  • Main Responsibilities:
  • Understand business problems, analyze data, and define success criteria.
  • Work with engineering teams and architecture teams for data identification, collection, harmonization, and cleansing.
  • 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.
  • Build models that are interpretable, explainable, and sustainable at scale and meet business needs.
  • Build visualizations and demonstrate results to stakeholders and leadership teams.
  • Lead the design of prototypes in AI factories, partnering with product teams, AI strategists, and other stakeholders throughout the AI development life cycle.
  • Lead and transform data science prototypes.
  • Mentor junior engineers in machine learning techniques, tools, and concepts.
Requirements and Qualifications
  • Bachelor's degree required.
  • Fluent English for conversation with 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.
Benefits

We offer a competitive salary of R$ 15,000 - R$ 25,000 per month, depending on experience.

Our benefits package includes great support for good health with medical, dental, and vision coverage options, access to an on-site fitness center, occupational health nurse, and allowances for high-quality safety equipment.

Flexible savings and spending accounts to maximize healthcare 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.

Location

The role is based in Sao Paulo, Brazil, and we are open to considering candidates from nearby locations.


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