| Hi This is Aditya Staffing Expert from Nexiva Inc . Im reaching out regarding a Role that aligns well with your experience. Let me know if youre open to discuss . Just Please check below role and share me your updated Resume with contact details or You can share me a References if any one your known looking an Opportunity! Job Description Title: Full /Azure Developer Location: Hybrid/NYC 3 Days a Week - No Relocation Duration: 12 Months MOI: Video All submittals must Include: - Drivers license or State ID
- Link to the candidates LinkedIn account.
- Below submittal Format
Requirement Notes (Candidate Job description below) : We are seeking an experienced (12 YEARS) Azure Data Engineer (Full Stack) to support the evolution of the firms enterprise data platform. The role is hands-on and spans backend data engineering service development and integrations within Azure. You will design build and support scalable production-grade data pipelines and applications and work closely with business and technology teams to deliver reliable solutions. **** CANDIDATES MUST COME FROM A VERY LARGE WELL-KNOWN ENTERPRISE OR A MEGA BANK CAPITAL MARKETS FINANCIAL SERVICES COMPANY HEDGE FUND OR TECHNOLOGY COMPANY. THE CLIENT DOES NOT WANT TO SEE CANDIDATES OUT OF HEALTHCARE GOVERNMENT RETAIL OR SMALL COMPANIES WITH NO NAME RECOGNITION. CANDIDATES COMING OUT OF FINANCIAL ENTERPRISES WITH GET FIRST PRIORITY. ****CANDIDATES MUST HAVE GOOD TENURE AND/OR LONG PROJECTS. CANDIDATES WITH RECENT LOCAL PROJECTS. NO RELOCATION Job Description: 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. Azure Data Engineer / Full Stack Developer Position Overview We are seeking a highly skilled Azure Data Engineer / Full Stack 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. Key Responsibilities - 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# 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.
Required Qualifications - 10 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# .
- 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.
- 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 Youll 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.
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