Full Stack .Net/Azure Developer

Shiftcode Analytics, Inc
Dallas, TX, United States
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

.NET Framework Application Programming Interfaces (APIs) Apache HTTP Server Application Integration Architecture Microsoft Azure C Sharp (Programming Language) Cloud Computing Cloud Engineering Code Review Databases Continuous Delivery Continuous Integration
+38 more
Data Architecture Information Engineering Data Infrastructure Data Integration Extract Transform Load (ETL) Data Security Database Development DevOps Microsoft Software Performance Tuning Systems Development Life Cycle Query Optimization Cloud Services Service-Oriented Architecture Software Configuration Management Software Deployment Software Engineering SQL Stored Procedures SQL Databases Data Streaming Data Logging Freeform SQL Cloud Platform System Azure Data Factory Apache Spark Software Application Programming Backend Event Driven Architecture Apache Flink Apache Kafka Data Management Cloud Integration Api Design Restful APIs Multiplatform Data Pipelines Api Management Serverless Computing

Job description

We are seeking a highly skilled Full Stack .Net Azure Data Engineer / Developer to join our team and play a key role in advancing our enterprise data platform. This hands-on position combines data engineering, application development, and cloud integration expertise to deliver scalable, high-performance solutions within the Microsoft Azure ecosystem. The ideal candidate will have strong experience building modern data platforms, developing backend services, and supporting enterprise-grade applications in a cloud environment., * Design, develop, and maintain scalable end-to-end data pipelines supporting enterprise data initiatives.

  • Build and optimize complex SQL queries, data models, stored procedures, and transformation processes.
  • Develop backend applications, APIs, and services using C# and .NET technologies.
  • Implement and support Azure-based solutions utilizing Azure Data Factory, Azure Functions, and related cloud services.
  • Design and develop RESTful APIs and service layers to facilitate data access and integration with downstream applications.
  • Develop and maintain batch and event-driven processing frameworks to support business requirements.
  • Ensure data quality, integrity, security, and performance across all platform components.
  • Implement monitoring, logging, alerting, and operational support processes for production environments.
  • Collaborate closely with business stakeholders, data engineers, architects, and DevOps teams to deliver reliable solutions.
  • Participate in code reviews, architectural discussions, and the establishment of development standards and best practices.
  • Support production deployments, troubleshoot complex issues, and drive continuous platform improvements.

Requirements

Seeking an experienced (12+ YEARS) CANDIDATES MUST COME FROM A VERY LARGE, WELL-KNOWN ENTERPRISE OR A MEGA BANK, CAPITAL MARKETS FINANCIAL SERVICES COMPANY, HEDGE FUND OR TECHNOLOGY COMPANY CANDIDATES WITH RECENT FINANCIAL EXPERIENCE WILL GET FIRST PRIORITY. MUST HAVE GOOD TENURE AND/OR LONG PROJECTS. CANDIDATES WITH RECENT LOCAL PROJECTS PREFERRED. MINIMUM REQUIRMENTS PROBABLY WON’T GET THIS POSITION, * 12+ years of experience in software engineering, data engineering, or related technical roles.

  • Strong expertise in SQL development, data modeling, query optimization, and performance tuning.
  • Hands-on experience developing applications and services using C# and .NET.
  • Proven experience working with Microsoft Azure services, including Azure Data Factory and Azure Functions.
  • Experience designing and developing APIs and service-oriented architectures.
  • Strong understanding of ETL/ELT methodologies, data integration, and pipeline design.
  • Experience working with large-scale, distributed, or cloud-based data platforms.
  • Excellent analytical, troubleshooting, communication, and problem-solving skills.

Preferred Qualifications

  • Experience designing and implementing modern cloud-native data architectures.
  • Hands-on experience with Apache technologies such as Kafka, Spark, or Flink.
  • Knowledge of event-driven architecture patterns and Azure Event Hubs.
  • Familiarity with Azure App Configuration and Azure API Management (APIM).
  • Experience implementing CI/CD pipelines and DevOps best practices.
  • Prior experience within financial services, capital markets, asset management, or investment management environments.

What You’ll Bring

  • Passion for building scalable, high-quality cloud solutions.
  • Strong collaboration skills and ability to work across technical and business teams.
  • Commitment to engineering excellence, automation, and continuous improvement.
  • Ability to thrive in a fast-paced, enterprise environment supporting mission-critical systems.

Skills: Analysis Skills, Apache, Apache Kafka, Application Integration, Application Programming Interface (API), Architectural Services, Asset Management, Automation, Best Practices, Capital Markets, Cloud Applications, Cloud Computing, Code Reviews, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Data Management, Data Modeling, Data Quality, Database Extract Transform and Load (ETL), DevOps, Ecosystems, Financial Services, Hedge Funds, Hubs, Identify Issues, Investment Management, Microsoft .NET, Microsoft C# (C Sharp), Microsoft Windows Azure, Multiplatform/Cross-Platform, Operational Support, Operations Processes, Performance Tuning/Optimization, Problem Solving Skills, Process Improvement, Production Support, Production Systems, Query Optimization, REST (Representational State Transfer), SQL (Structured Query Language), Scalable System Development, Service-Oriented Architecture (fka Distributed Object Architecture), Software Configuration Management, Software Development, Software Engineering, Stored Procedures, Team Player

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