Skoruz Technologies

Skoruz Technologies is an analytics leader that helps customers gain a competitive advantage by delivering strong business outcomes through deep capabilities in consulting, technology, and analytics.…

AIAnalyticsAutomationConsultingCyber SecurityData MonetizationMachine LearningPredictive Solutionsskoruz.com

Skoruz Technologies

AIAnalyticsAutomationConsultingCyber SecurityData MonetizationMachine LearningPredictive Solutionsskoruz.com

HQNewark, US

Team Size145

Open JobsUnknown

Total Funding-

Latest FundraiseUnknown

Join the Team

Data Engineer

On-SiteBengaluru, Karnataka, IN

On-Site • Bengaluru, Karnataka, IN

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Part-time • London, GB

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Contract • New York, US

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Full-timeHamburg, DE

Full-time • Hamburg, DE

Mobile Developer

Part-timeAustin, US

Part-time • Austin, US

Data Scientist

ContractBelgrade, RS

Contract • Belgrade, RS

Data Scientist

Full-timeHamburg, DE

Full-time • Hamburg, DE

Company Description

Founded in 2005 in the United States, Skoruz Technologies operates globally with locations in Silicon Valley, Costa Rica, the Netherlands, Bengaluru, Malaysia, Singapore, and Dubai. Skoruz specializes in providing software services and solutions, excelling in systems integration across various business processes. The company’s 300+ technology consultants deliver services like Managed Application and Infrastructure Services, Consumer Analytics, Custom Application Services, and Professional Services to renowned clients worldwide. Skoruz also offers Risk and Reputation Management solutions powered by advanced Artificial Intelligence (AI) to tackle challenges such as phishing attacks and fake online activities.

Role Description

The Data Engineer will be responsible for designing, implementing, and maintaining data pipelines, supporting Extract, Transform, Load (ETL) processes, and collaborating with teams to ensure efficient and scalable data solutions. Additional duties include optimizing data workflows, conducting data analysis, and contributing to data architecture for business intelligence and analytics needs.

Experience: 3 to 7 years.

Key Responsibilities

Required Skills

Azure Data Factory (ADF)
Azure Synapse Analytics
PySpark
SQL
Data integration with S3, ADLS Blob, Salesforce
REST API configuration and consumption
Microsoft Fabric
Real-Time Analytics
Power BI integration and data enablement