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