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