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Über
Data Analytics / Data Engineer
to support enterprise-scale data initiatives focused on operational efficiency, production optimization, and business intelligence. This role will sit at the intersection of data engineering and analytics, building scalable data pipelines and enabling advanced reporting and insights across the organization.
The ideal candidate has strong experience with
Databricks
and at least
1 year of hands-on experience with Microsoft Fabric , including Lakehouse architectures, data integration, and analytics workloads.
Location & Employment Location:
Atlanta, GA (Hybrid preferred; Remote considered for strong candidates)
Employment Type:
Full-Time, On Site
Key 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
Required Qualifications
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
Preferred Qualifications
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
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Sprachkenntnisse
- English
Hinweis für Nutzer
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