Job description

Job Responsibilities • Build and support Azure-centric integration components using Azure Event Grid, Azure Functions, Azure Logic Apps, Azure Data Lake Store, Azure Key Vault, and Azure Data Factory as part of event-driven workflows for banking applications • Develop data processing pipelines that ingest, transform, and store investment banking and brokerage data in Azure Data Lake Store, following established design patterns • Work with product owners, business analysts, and engineering teams to implement technical requirements based on defined architecture and enterprise standards • Support and maintain Azure Data Factory pipelines, including mapping data flows, to help improve latency, throughput, and data quality • Configure Azure Key Vault for applications to manage secrets, certificates, and encryption keys per established security guidelines • Implement event-driven components using Azure Event Grid and Azure Functions to process trade events, settlements, and reconciliations, including basic error handling and monitoring • Build integrations with Azure Logic Apps to support workflow automation across trading platforms, market data feeds, and back-office systems • Follow logging, monitoring, and alerting standards across Azure services to support observability of pipelines and functions • Assist in identifying opportunities to modernize legacy data and integration workloads, and help implement migration tasks under senior guidance • Document technical implementation details, interface contracts, and configurations to support team knowledge sharing • Coordinate with security and risk teams to implement encryption, access control, and secret management configurations per internal policy • Participate in hybrid work model ceremonies, including design reviews, sprint planning, and team syncs, during day shifts Qualifications • Hands-on experience with Azure Event Grid, Azure Functions, Azure Logic Apps, Azure Data Lake Store, Azure Key Vault, and Azure Data Factory in production environments • Working knowledge of cloud security, data protection, and identity management as applied to sensitive financial data • Exposure to investment banking operations or brokerage domains (trade lifecycles, settlements, reconciliations, reporting) is a plus • Solid skills in data modeling, integration patterns, and pipeline performance tuning • Good communication skills to collaborate with cross-functional teams • Comfortable working in hybrid/distributed team settings with clear documentation practices About Cognizant’s IoT Practice: Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things—but with it, our modern connected products facilitate a unified way of life enjoyed by all. *Please note, this role is not able to offer visa transfer or sponsorship now or in the future* • Applications will be accepted until September 4th , 2026 • LI#- #LI-SC6 Compensation & Benefits $92,000 – $110,000 per year Bonus + Comprehensive Benefits Additional Information • Onsite role • ⚠️ Visa sponsorship is not available now or in the future. Candidates requiring sponsorship will not be considered. Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: • Medical/Dental/Vision/Life Insurance • Paid holidays plus Paid Time Off • 401(k) plan and contributions • Long-term/Short-term Disability • Paid Parental Leave • Employee Stock Purchase Plan About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

Develop data processing pipelines that ingest, transform, and store investment banking and brokerage data in Azure Data Lake Store, following established design patterns
Work with product owners, business analysts, and engineering teams to implement technical requirements based on defined architecture and enterprise standards
Support and maintain Azure Data Factory pipelines, including mapping data flows, to help improve latency, throughput, and data quality
Configure Azure Key Vault for applications to manage secrets, certificates, and encryption keys per established security guidelines
Implement event-driven components using Azure Event Grid and Azure Functions to process trade events, settlements, and reconciliations, including basic error handling and monitoring
Build integrations with Azure Logic Apps to support workflow automation across trading platforms, market data feeds, and back-office systems
Follow logging, monitoring, and alerting standards across Azure services to support observability of pipelines and functions
Assist in identifying opportunities to modernize legacy data and integration workloads, and help implement migration tasks under senior guidance
Document technical implementation details, interface contracts, and configurations to support team knowledge sharing
Coordinate with security and risk teams to implement encryption, access control, and secret management configurations per internal policy
Participate in hybrid work model ceremonies, including design reviews, sprint planning, and team syncs, during day shifts
Hands-on experience with Azure Event Grid, Azure Functions, Azure Logic Apps, Azure Data Lake Store, Azure Key Vault, and Azure Data Factory in production environments
Working knowledge of cloud security, data protection, and identity management as applied to sensitive financial data
Solid skills in data modeling, integration patterns, and pipeline performance tuning
Good communication skills to collaborate with cross-functional teams
Comfortable working in hybrid/distributed team settings with clear documentation practices
Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Applications will be accepted until September 4th , 2026

Nice-to-haves

Exposure to investment banking operations or brokerage domains (trade lifecycles, settlements, reconciliations, reporting) is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azureai

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave