Vaga de parceiro

Data Engineer - Rio de Janeiro / RJ

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers.
  • Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.
  • Job Duties and Qualifications This role is a part of the Digital Solutions Data Backbone team.
  • The team, as well as a successful candidate, will create useful data products to be used in operations, data science modeling, business intelligence, and reporting across Halliburton Product Service Lines (PSLs).
  • Overview: The candidate possesses programming skills relevant to the Extract Transform and Load (ETL) process in a cloud environment.
  • The candidate will also have good problem-solving skills and great attention to detail to ensure we are creating a reliable product.
  • The data engineer will need good communication skills with the ability to understand and describe cloud environments effectively.
  • Responsibilities: Use Python or SQL for engineering and scientific calculations.
  • Understand the different parts of a modern cloud ETL pipeline; specifically Azure.
  • Draw conclusions by effectively plotting and analyzing data.
  • Use Business Intelligence tools like PowerBI to create and modify reports for customers.
  • Research new cloud technologies and give recommendations.
  • Qualifications: Completion of an undergraduate degree in STEM and 2+ years of related experience is required.
  • Coding knowledge and experience with Python, SQL, Dash/Plotly, PowerBI, Databricks, and DAX.
  • Experience creating and optimizing data pipelines with Azure Data Factory.
  • Demonstrable experience creating and executing workflows with Logic and Function applications.
  • Familiar with all components of a modern Azure environment.
  • Proficient in pyspark or Spark SQL is preferred.
  • Knowledge of cloud solutions and architecture patterns.
  • Halliburton is an Equal Opportunity Employer.
  • Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
  • Location Requisition Number: 193791 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Global R&D Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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