Note: The job is a remote job and is open to candidates in USA. The client is a leading organization in the oil and gas industry. The company is seeking a Data Analytics / Data Engineer to build scalable data pipelines, optimize data models, and enable reporting and actionable insights for operational efficiency, production optimization, and business intelligence.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and cloud-native tools
• Develop and optimize data models to support analytics, reporting, and downstream consumption
• Leverage Microsoft Fabric (Data Factory, Lakehouse, OneLake) to ingest, transform, and manage enterprise data
• Partner with business analysts, data scientists, and stakeholders to understand data requirements and deliver actionable insights
• Ensure data quality, governance, security, and performance across all data platforms
• Support analytics use cases related to operations, supply chain, production, and financial reporting within an oil and gas environment
• Monitor and troubleshoot pipeline failures and performance bottlenecks
• Document data workflows, models, and best practices

Skills

• • Bachelor's degree in Computer Science, Data Engineering, Analytics, or a related field
• • 3+ years of experience in data engineering or analytics-focused roles
• • Strong hands-on experience with Databricks (Spark, Delta Lake, notebooks, jobs, workflows)
• • At least 1 year of experience with Microsoft Fabric , including:
• • Fabric Data Factory or data ingestion tools
• • Fabric Lakehouse / OneLake
• • Integration with Power BI (a plus)
• • Proficiency in SQL and Python
• • Experience building and maintaining data pipelines in a cloud environment (Azure preferred)
• • Solid understanding of data warehousing, data modeling, and analytics best practices
• • Experience working in Oil & Gas, Energy, Utilities, or Industrial environments
• • Familiarity with time-series data, operational data, or sensor/SCADA data
• • Experience supporting BI tools such as Power BI or similar platforms
• • Exposure to data governance, metadata management, and security frameworks
• • Azure certifications (Data Engineer, Fabric, or related) are a plus

Benefits

• Hybrid preferred; remote considered for strong candidates

Company Overview