Data Engineer

-; Rio de Janeiro; Presencial; BRL 12.000 - 20.000; Tempo integral

Resumo da oferta

A leading company in the global energy industry is seeking a Data Engineer for their Digital Solutions Data Backbone team. The role involves creating data products for operations and business intelligence, requiring strong programming skills in Python and SQL, along with experience in cloud environments like Azure. Candidates should have a STEM degree and relevant experience in data engineering.

Qualificações

• 2+ years of related experience required.
• Experience with Azure environment and data pipelines.
• Proficient in pyspark or Spark SQL preferred.

Responsabilidades

• Use Python or SQL for engineering and scientific calculations.
• Understand modern cloud ETL pipeline, specifically Azure.
• Create and modify reports using PowerBI.

Conhecimentos

Python

SQL

Business Intelligence

Data Analysis

Problem Solving

Formação académica

Undergraduate degree in STEM

Ferramentas

PowerBI

Azure Data Factory

Databricks

Dash/Plotly

Logic Apps

Spark SQL

Descrição da oferta de emprego

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.

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

Rua Paulo Emidio Barbosa 485 Q,Rio de Janeiro,Rio de Janeiro,291941, Brazil

Job Details

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.

Job Segment: Business Intelligence, Database, SQL, Technology