AI/ML Data Engineer Role in Energy
Posted
Summary
Senior data engineer at Data Elephant in Calgary building end-to-end AI applications for oil & gas clients: designing Azure Databricks data pipelines, processing sensor/telemetry data in real time, and deploying ML models for asset management and anomaly detection. Core stack: Python, SQL, Spark.
Shape the future of AI in the Oil & Gas sector as a Senior Data Engineer, focusing on creating powerful data-driven solutions. Your expertise will bridge software engineering with applied AI for impactful client projects.
The position is designed for those experienced in building end-to-end AI applications, from establishing data pipelines to deploying ML models in production. Engage with real-world scenarios that require seamless integration of operational data analysis and engineering solutions to enhance asset management workflows and develop anomaly detection systems.
Key Responsibilities: • Design and implement AI-based applications for industrial needs • Optimize data pipelines for sensor and operational datasets • Develop transformation logic according to engineering specifications • Facilitate real-time data processing for analytics • Support clients by translating technical requirements
Requirements: • Senior experience in data pipeline design with Azure Databricks • Proficiency with Python, SQL, and Spark technologies • Familiarity with telemetry and industrial datasets • Engineering or applied science degree preferred • Experience in upstream oil and gas operations
Take on this influential role to push the boundaries of AI and data engineering within the energy sector.
The position is designed for those experienced in building end-to-end AI applications, from establishing data pipelines to deploying ML models in production. Engage with real-world scenarios that require seamless integration of operational data analysis and engineering solutions to enhance asset management workflows and develop anomaly detection systems.
Key Responsibilities: • Design and implement AI-based applications for industrial needs • Optimize data pipelines for sensor and operational datasets • Develop transformation logic according to engineering specifications • Facilitate real-time data processing for analytics • Support clients by translating technical requirements
Requirements: • Senior experience in data pipeline design with Azure Databricks • Proficiency with Python, SQL, and Spark technologies • Familiarity with telemetry and industrial datasets • Engineering or applied science degree preferred • Experience in upstream oil and gas operations
Take on this influential role to push the boundaries of AI and data engineering within the energy sector.