We are looking for the right people - people who want to innovate, achieve, grow and lead. 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 world's largest providers of products and services to the global energy industry.

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 and DAX.
• Ability to create full end-to-end data pipelines in an Azure environment.
• 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

São Paulo, SP - Brazil.

Job Details

Requisition Number: 191181
Experience Level:
Job Family: Engineering/Science/Technology
Product Service Line: [[division_obj]]
Full Time / Part Time: Full Time

Additional Locations for this position:São Paulo, SP - Brazil.

Job Segment: Database, SQL, Business Intelligence, Technology