Title: Data Engineer Location: Houston, TX (On-site) Client: Quest Global/Halliburton Roles: 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. 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 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 SysMind Tech
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