Azure Data Engineer || Charlotte, North Carolina (Hybrid)

Veritas Managed Solutions, Inc.
Charlotte, NC, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$228,800.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Data Analysis Unit Testing Information Engineering Data Integration Extract Transform Load (ETL) Fraud Prevention and Detection Python (Programming Language) Microsoft SQL Server Oracle (Applications) Power BI Azure Data Lake
+13 more
SQL Stored Procedures PL-SQL TypeScript Enterprise Software Applications Azure Data Factory Reliability of Systems Backend Integration Tests Information Technology Actimize Data Pipelines Powerapps Databricks

Job description

We are seeking an experienced Azure Data Engineer to design, develop, and collaborate with a team of Azure Databricks and Actimize specialists while partnering with external vendors to deliver enterprise compliance and surveillance solutions. This role is critical in supporting and enhancing the bank s fraud detection and prevention platform, ensuring adherence to risk management, legal, and regulatory requirements. The ideal candidate will bring strong expertise in data engineering, Azure Databricks development, and data pipeline optimization to build scalable solutions in a highly transactional banking environment. This position involves customization of the Databricks platform, workflow implementation, troubleshooting, production support, and close collaboration with business and technical teams., * Design and develop code, configurations, and solutions for Azure Databricks and Actimize applications based on business and technical requirements.

  • Build and optimize data integration pipelines for ingestion, transformation, and storage using Azure Databricks and Azure Data Lake.
  • Analyze requirements, incidents, and process flows while creating clear technical documentation.
  • Troubleshoot and resolve application and data issues across environments, including root cause analysis.
  • Provide timely, high-quality production support to maintain compliance and system reliability.
  • Communicate effectively with business users, vendors, stakeholders, and support teams throughout the project lifecycle.
  • Manage multiple priorities and projects in a fast-paced environment.
  • Develop and execute unit testing and integration testing for system enhancements and releases.
  • Coordinate and support system upgrades with end users and technical teams.
  • Serve as an escalation point for complex production issues to minimize business disruption.
  • Participate in implementations, go-lives, and occasional evening/weekend deployment support.
  • Collaborate across teams to resolve high-priority incidents and drive continuous improvement initiatives., As a Backend Engineer, you will play a crucial role in shaping the future of AI systems by developing scalable backend services and APIs that enhance model performance. Your expert…
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Requirements

  • 5+ years of experience implementing enterprise technologies or vendor platforms.
  • Strong hands-on experience with:

  • Azure Databricks
  • Azure Data Lake
  • Python
  • SQL Server
  • Oracle / PL-SQL
  • SQL Stored Procedures
  • Power BI
  • Power Apps
  • Experience in IT development, system design, integration, and data analysis within complex enterprise environments.
  • Strong understanding of relational databases and SQL platforms, particularly Oracle or similar technologies.
  • Experience with data engineering, ETL/ELT pipelines, and scalable data workflows.
  • Familiarity with compliance, surveillance, or fraud prevention systems.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to independently manage and prioritize multiple tasks in a dynamic environment.

Preferred Skills

  • Experience with Actimize (Highly Preferred)
  • Banking, compliance, fraud detection, or surveillance platform experience.
  • Bachelor s degree in Computer Science or related field (Preferred).

Benefits & conditions

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