Data Engineer - Python - Mid-level

Descrição da empresa

Halliburton Landmark provides E&P professionals with software-driven lifecycle insights that generate new ideas, actions, and results to maximize asset value.

Such insights are derived from digital technology, such as an oil and gas digital twin, which helps take your work to a new level of agility, openness, and collaboration-enabled by innovative and open industry software.

Atividades e Responsabilidades

This role is a part of the Production Enhancement 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.

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. This opportunity covers people with disabilities (PwD).

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;

Requisitos

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.

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