About this role

Design, develop, and maintain data pipelines using PySpark, Python, and cloud-native tools.
Build and optimize ETL processes for ingesting, transforming, and validating large oil and gas datasets.
Perform data discovery, cleansing, validation, and anomaly detection.
Conduct thorough quality assurance across multiple datasets (production, completions, costs, well attributes, etc.).
Reverse-engineer existing scripts, workflows, and legacy logic to understand data lineage and implement improved solutions.
Collaborate closely with the research and analytics teams to understand data needs and provide timely insights.
Produce comprehensive technical and functional documentation, including SOPs, design specs, and system overviews.

Essential Experience in data analysis, data engineering, or data development.
Strong programming skills in PySpark and Python.
Experience with AWS or other cloud platforms for data development and integration.
Ability to work with large, complex datasets and develop scalable data solutions.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent verbal and written communication skills, including documentation.

Data Analyst – Oil and Gas

Key skills