Value Reporting Data Engineer

Responsibilities:

• Design and maintain scalable data pipelines leveraging event-based and streaming technologies (e.g., Kafka, NATS) to ingest, transform, and process structured and unstructured data.
• Develop and manage production-quality datasets within Databricks and related data platforms to support analytics, reporting, and downstream applications.
• Build and automate standardized metrics calculations and product performance reports, using Python, Power BI, Power Apps, and Sigma.
• Architect reporting systems that deliver detailed insight into drilling performance across individual wells and offset wells, enabling comparative and trend-based analysis.
• Develop and maintain enterprise data environments including SQL Server, Databricks, Dataverse, and related systems to ensure data integrity, accessibility, and governance.
• Translate large-scale operational and market data into actionable insights that inform product strategy, commercial positioning, and customer value realization.
• Collaborate with product, engineering, marketing, and operations teams to ensure alignment between technical data assets and business objectives.

Requirements:

• Bachelor’s degree in Engineering, Computer Science, Data Science, Information Systems, or related technical field.
• Strong experience building and maintaining scalable data pipelines within modern data lake or lakehouse architectures (e.g., Databricks, Delta Lake).
• 3-5 Years of Hands-on experience with event-driven and streaming technologies such as Kafka, NATS, or comparable messaging systems.
• Advanced proficiency in Python and SQL for data transformation, automation, and metric standardization.
• Experience developing production-grade dashboards and reporting solutions using Power BI, Sigma, Power Apps, or similar BI platforms.
  • Experience in oil and gas operations is preferred