
Job Title: Business Analyst – Fintech Domain (Mumbai Only)
Location: Mumbai, India
Experience: 5 to 10 Years
Domain: Fintech (Commodity domain exposure will be provided)
Education: Graduate/Postgraduate from a Premium Institute (Tier 1 preferred)
About the Role:
We are looking for an experienced Business Analyst with 5–10 years of proven experience in the Fintech domain. This role is ideal for candidates who have a strong foundation in business analysis and are keen to be groomed into the Commodity domain. You will work closely with cross-functional teams to drive bespoke application development and deliver high-quality, domain-aligned solutions.
Key Responsibilities:
- Collaborate with stakeholders to gather, analyze, and document detailed business and functional requirements.
- Work on bespoke application development – from requirement elicitation to testing and go-live support.
- Translate business needs into functional specifications and user stories.
- Participate in solution design, data mapping, and system integration discussions.
- Conduct UAT planning, execution, and post-production validation.
- Continuously identify process improvement opportunities and recommend solutions.
Required Skills & Qualifications:
- Bachelor's/Master’s degree from a Premium Institute (Tier 1 background preferred).
- 5–10 years of relevant experience as a Business Analyst in Fintech/Banking/Financial Services.
- Strong understanding of BA processes – requirement
Location Constraint:
- Only candidates currently based in Mumbai will be considered.
- Profiles from Pune or other locations will not be entertained.

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
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Experience: 5 - 9 years
Location: Bangalore/Pune/Hyderabad
Work Mode: Hybrid(3 Days WFO)
Senior Cloud Infrastructure Engineer for Data Platform
The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and efficient data and analytics solutions. This role requires a strong understanding of cloud-native technologies, DevOps best practices, and hands-on experience with Azure and Databricks.
Key Responsibilities:
Cloud Infrastructure Design & Management
Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.
Implement best practices for Azure Resource Management, including resource groups, virtual networks, and storage accounts.
Optimize cloud costs and ensure high availability and disaster recovery for critical systems
Databricks Platform Management
Set up, configure, and maintain Databricks workspaces for data engineering, machine learning, and analytics workloads.
Automate cluster management, job scheduling, and monitoring within Databricks.
Collaborate with data teams to optimize Databricks performance and ensure seamless integration with Azure services.
CI/CD Pipeline Development
Design and implement CI/CD pipelines for deploying infrastructure, applications, and data workflows using tools like Azure DevOps, GitHub Actions, or similar.
Automate testing, deployment, and monitoring processes to ensure rapid and reliable delivery of updates.
Monitoring & Incident Management
Implement monitoring and alerting solutions using tools like Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.
Troubleshoot and resolve infrastructure and application issues, ensuring minimal downtime.
Security & Compliance
Enforce security best practices, including identity and access management (IAM), encryption, and network security.
Ensure compliance with organizational and regulatory standards for data protection and cloud operations.
Collaboration & Documentation
Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align infrastructure with business needs.
Maintain comprehensive documentation for infrastructure, processes, and configurations.
Required Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
Must Have Experience:
6+ years of experience in DevOps or Cloud Engineering roles.
Proven expertise in Microsoft Azure services, including Azure Data Lake, Azure Databricks, Azure Data Factory (ADF), Azure Functions, Azure Kubernetes Service (AKS), and Azure Active Directory.
Hands-on experience with Databricks for data engineering and analytics.
Technical Skills:
Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.
Strong scripting skills in Python, or Bash.
Experience with containerization and orchestration tools like Docker and Kubernetes.
Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).
Soft Skills:
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
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Working hours: 10:00 am to 6:30 pm
Location: C.G. Road, Ahmedabad
Compensation: Up to 6 LPA
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