We are seeking a results-driven Senior Business Analyst with strong project management knowledge to bridge business stakeholders and technical teams. The role involves eliciting, analyzing, and documenting business requirements, managing stakeholder expectations, and facilitating collaboration across functions. Candidates should have a minimum of 5 years of experience in business analysis, strong communication skills, and proficiency in Agile methodologies. Experience with tools like Jira and Confluence is preferred.
Responsibilities
We are seeking a results-driven Senior Business Analyst with strong project management knowledge to bridge business stakeholders and technical teams. The role involves eliciting, analyzing, and documenting business requirements, managing stakeholder expectations, and facilitating collaboration across functions. Candidates should have a minimum of 5 years of experience in business analysis, strong communication skills, and proficiency in Agile methodologies. Experience with tools like Jira and Confluence is preferred.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Digital : Python~Digital : Docker~Digital : Google Cloud~Digital : Kubernetes~PL/SQL
Strong proficiency in Python for application development, data processing, and automation, Ability to build and consume REST APIs using frameworks like FastAPI or Flask..
• Experience working with structured, semi-structured, and unstructured data
Hands-on experience with cloud-based application deployment and data services
• Build high-concurrency, asynchronous REST APIs using Python and FastAPI, leveraging async/await for non-blocking I/O and configuring CORS and middleware integrations for gateway compatibility..
• Apply deep expertise in GCP networking and security, including VPC architecture, subnet isolation, Cloud Load Balancing, IAM, Workload Identity, and resource quota and cost optimization in distributed environments.
Responsibilities
Digital : Python~Digital : Docker~Digital : Google Cloud~Digital : Kubernetes~PL/SQL
Strong proficiency in Python for application development, data processing, and automation, Ability to build and consume REST APIs using frameworks like FastAPI or Flask..
• Experience working with structured, semi-structured, and unstructured data
Hands-on experience with cloud-based application deployment and data services
• Build high-concurrency, asynchronous REST APIs using Python and FastAPI, leveraging async/await for non-blocking I/O and configuring CORS and middleware integrations for gateway compatibility..
• Apply deep expertise in GCP networking and security, including VPC architecture, subnet isolation, Cloud Load Balancing, IAM, Workload Identity, and resource quota and cost optimization in distributed environments.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Digital : Python~Digital : Docker~Digital : Google Cloud~Digital : Kubernetes~PL/SQL
SAS Administrator
Job Description:
The SAS Administrator is responsible for managing and maintaining SAS environments to ensure optimal performance, security, and availability. This role supports both development and production environments and plays a critical role in data integration, reporting, and analytics delivery.
Key Responsibilities
1. Environment Setup & Maintenance: Install, configure, and upgrade SAS software including SAS Visual Analytics, SAS Management Console, SAS DI Studio, and SAS Viya.
2. User & Access Management: Manage users, groups, and roles; assign permissions using SAS Management Console.
3. Data Integration & ETL: Develop and maintain ETL pipelines using SAS DI Studio and Base SAS; ensure data quality and integrity.
4. Reporting & Visualization: Build dashboards and reports using SAS Visual Analytics and Power BI.
5. Incident Handling: Monitor system health, troubleshoot issues, and perform root cause analysis.
6. Automation & Optimization: Automate recurring tasks and optimize data pipelines.
7. Documentation & Compliance: Maintain technical documentation and ensure compliance with data governance and security standards.
Required Skills
1. SAS Expertise: Proficiency in SAS Base, SAS Macro, SAS DI Studio, SAS EG, SAS Visual Analytics, and SAS Management Console.
2. Database & Tools: Experience with DB2, SQL Server, Azure Synapse, Control-M, JCL, and Git.
3. Cloud & DevOps: Familiarity with Azure/GCP, Kubernetes, Docker, and tools like Jira and Confluence.
4. Reporting Tools: Power BI and Excel for data visualization.
Responsibilities
SAS Administrator
Job Description:
The SAS Administrator is responsible for managing and maintaining SAS environments to ensure optimal performance, security, and availability. This role supports both development and production environments and plays a critical role in data integration, reporting, and analytics delivery.
Key Responsibilities
1. Environment Setup & Maintenance: Install, configure, and upgrade SAS software including SAS Visual Analytics, SAS Management Console, SAS DI Studio, and SAS Viya.
2. User & Access Management: Manage users, groups, and roles; assign permissions using SAS Management Console.
3. Data Integration & ETL: Develop and maintain ETL pipelines using SAS DI Studio and Base SAS; ensure data quality and integrity.
4. Reporting & Visualization: Build dashboards and reports using SAS Visual Analytics and Power BI.
5. Incident Handling: Monitor system health, troubleshoot issues, and perform root cause analysis.
6. Automation & Optimization: Automate recurring tasks and optimize data pipelines.
7. Documentation & Compliance: Maintain technical documentation and ensure compliance with data governance and security standards.
Required Skills
1. SAS Expertise: Proficiency in SAS Base, SAS Macro, SAS DI Studio, SAS EG, SAS Visual Analytics, and SAS Management Console.
2. Database & Tools: Experience with DB2, SQL Server, Azure Synapse, Control-M, JCL, and Git.
3. Cloud & DevOps: Familiarity with Azure/GCP, Kubernetes, Docker, and tools like Jira and Confluence.
4. Reporting Tools: Power BI and Excel for data visualization.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
platform and data engineerRole Descriptions: Experience in the following technologies is key to this role Knowledge of distributed data mesh deployment methodology. 6 years of experience as a platform and data engineer. Hands-on experience with Microsoft Fabric (Lakehouse| Warehouse| Data Pipelines| notebooks| and semantic models). Strong understanding of event streaming architectures using Azure Event Hubs. Hands-on experience with data governance frameworks and tooling| specifically Databricks Unity Catalog andor Microsoft Purview. Experience designing and maintaining real-time data processing solutions with Azure Stream Analytics. Experience in building robust and performant ETL processes. Excellent data analysis and exploration using T-SQL Demonstrated expertise in developing and optimizing large-scale data processing applications using Apache Spark. Proficient in writing complex Spark jobs to process and analyze vast datasets efficiently. Skilled in leveraging Pandas for data manipulation and analysis tasks. Capable of transforming trusted data into actionable insights by utilizing Pandas powerful data structures and functions. Knowledge and experience of data warehouse modelling methodologies (Data Vault 2.0| Kimball) Experience in Azure one or more of the following Microsoft Fabric| Azure Data Factory| Azure Event Hubs| Databricks| Azure Synapse Analytics| ADLS Gen2 and Azure Stream Analytics. Experience in Azure DevOps and managing source code repositories| building and releasing applications| and implementing continuous integration and delivery processes (CICD) and infrastructure automation| including automated deployment pipelines using infrastructure-as-code. Experienced in the Agile Methodology ways of work Understanding of web application security concepts| such as Azure Active Directory (Azure AD) and the ability to integrate| authentication and authorization mechanisms into applications using Azure AD| data validation| and protection against common vulnerabilities. Experience in Infrastructure as Code (IaC) - scripting and automation via Azure CLI| PowerShell| Bash| Bicep and JSON ARM and Bicep templates. Understanding and experience in Azure bicep templates for automating deployment of pipelines. C| Python and SQL (stored procedures| functions) Effective communication and collaboration skills to work in cross-functional teams| participate in code reviews| and communicate technical concepts to non-technical stakeholders. Willingness to learn new technologies| keep up with industry trends| and adapt to evolving development practices and tools. Experience in Banking and Financial Services Experience in Open Banking technologiesRequired Qualifications Bachelors degree in computer science or related field from an accredited university andor equivalent work experience Microsoft Azure certifications (Mandatory AZ900| or DP600 or DP700 or DP203)| Adventurous (Databricks F
Essential Skills: Platform Data Engineer Experience in the following technologies is key to this role Knowledge of distributed data mesh deployment methodology. 6 years of experience as a platform and data engineer. Hands-on experience with Microsoft Fabric (Lakehouse| Warehouse| Data Pipelines| notebooks| and semantic models). Strong understanding of event streaming architectures using Azure Event Hubs. Hands-on experience with data governance frameworks and tooling| specifically Databricks Unity Catalog andor Microsoft Purview. Experience designing and maintaining real-time data processing solutions with Azure Stream Analytics. Experience in building robust and performant ETL processes. Excellent data analysis and exploration using T-SQL Demonstrated expertise in developing and optimizing large-scale data processing applications using Apache Spark. Proficient in writing complex Spark jobs to process and analyze vast datasets efficiently. Skilled in leveraging Pandas for data manipulation and analysis tasks. Capable of transforming trusted data into actionable insights by ut
Comments for Suppliers:
Rate Details
Rate Card Class: IND_Engineer
Category: Category 4
Responsibilities
platform and data engineer.
Role Descriptions: Experience in the following technologies is key to this role Knowledge of distributed data mesh deployment methodology. 6 years of experience as a platform and data engineer. Hands-on experience with Microsoft Fabric (Lakehouse| Warehouse| Data Pipelines| notebooks| and semantic models). Strong understanding of event streaming architectures using Azure Event Hubs. Hands-on experience with data governance frameworks and tooling| specifically Databricks Unity Catalog andor Microsoft Purview. Experience designing and maintaining real-time data processing solutions with Azure Stream Analytics. Experience in building robust and performant ETL processes. Excellent data analysis and exploration using T-SQL Demonstrated expertise in developing and optimizing large-scale data processing applications using Apache Spark. Proficient in writing complex Spark jobs to process and analyze vast datasets efficiently. Skilled in leveraging Pandas for data manipulation and analysis tasks. Capable of transforming trusted data into actionable insights by utilizing Pandas powerful data structures and functions. Knowledge and experience of data warehouse modelling methodologies (Data Vault 2.0| Kimball) Experience in Azure one or more of the following Microsoft Fabric| Azure Data Factory| Azure Event Hubs| Databricks| Azure Synapse Analytics| ADLS Gen2 and Azure Stream Analytics. Experience in Azure DevOps and managing source code repositories| building and releasing applications| and implementing continuous integration and delivery processes (CICD) and infrastructure automation| including automated deployment pipelines using infrastructure-as-code. Experienced in the Agile Methodology ways of work Understanding of web application security concepts| such as Azure Active Directory (Azure AD) and the ability to integrate| authentication and authorization mechanisms into applications using Azure AD| data validation| and protection against common vulnerabilities. Experience in Infrastructure as Code (IaC) - scripting and automation via Azure CLI| PowerShell| Bash| Bicep and JSON ARM and Bicep templates. Understanding and experience in Azure bicep templates for automating deployment of pipelines. C| Python and SQL (stored procedures| functions) Effective communication and collaboration skills to work in cross-functional teams| participate in code reviews| and communicate technical concepts to non-technical stakeholders. Willingness to learn new technologies| keep up with industry trends| and adapt to evolving development practices and tools. Experience in Banking and Financial Services Experience in Open Banking technologiesRequired Qualifications Bachelors degree in computer science or related field from an accredited university andor equivalent work experience Microsoft Azure certifications (Mandatory AZ900| or DP600 or DP700 or DP203)| Adventurous (Databricks F
Essential Skills: Platform Data Engineer Experience in the following technologies is key to this role Knowledge of distributed data mesh deployment methodology. 6 years of experience as a platform and data engineer. Hands-on experience with Microsoft Fabric (Lakehouse| Warehouse| Data Pipelines| notebooks| and semantic models). Strong understanding of event streaming architectures using Azure Event Hubs. Hands-on experience with data governance frameworks and tooling| specifically Databricks Unity Catalog andor Microsoft Purview. Experience designing and maintaining real-time data processing solutions with Azure Stream Analytics. Experience in building robust and performant ETL processes. Excellent data analysis and exploration using T-SQL Demonstrated expertise in developing and optimizing large-scale data processing applications using Apache Spark. Proficient in writing complex Spark jobs to process and analyze vast datasets efficiently. Skilled in leveraging Pandas for data manipulation and analysis tasks. Capable of transforming trusted data into actionable insights by ut
Comments for Suppliers:
Rate Details
Rate Card Class: IND_Engineer
Category: Category 4
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
2. Operations-Focused Engineer – Azure Specialist (1 Role) - (Experience range : 4-13 Years - SA/M)
Overview:
Responsible for cloud operations, infrastructure management, and reliability, with deep expertise in Microsoft Azure services.
Key Responsibilities:
Design, deploy, and manage Azure cloud infrastructure
Monitor system performance, availability, and security
Implement CI/CD pipelines and DevOps best practices
Troubleshoot production issues and ensure system reliability
Optimize cost, scalability, and performance of Azure resources
Desired Skills
Microsoft Copilot Studio development
Azure AI Foundry (AI bots and intelligent workflows)
Java / Spring Boot development
Workday integration tools (Studio, Extend, Orchestrate)- Mandatory
Cloud architecture and networking fundamentals
Responsibilities
2. Operations-Focused Engineer – Azure Specialist (1 Role) - (Experience range : 4-13 Years - SA/M)
Overview:
Responsible for cloud operations, infrastructure management, and reliability, with deep expertise in Microsoft Azure services.
Key Responsibilities:
Design, deploy, and manage Azure cloud infrastructure
Monitor system performance, availability, and security
Implement CI/CD pipelines and DevOps best practices
Troubleshoot production issues and ensure system reliability
Optimize cost, scalability, and performance of Azure resources
Desired Skills
Microsoft Copilot Studio development
Azure AI Foundry (AI bots and intelligent workflows)
Java / Spring Boot development
Workday integration tools (Studio, Extend, Orchestrate)- Mandatory
Cloud architecture and networking fundamentals
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Responsible for supporting the planning, design, and execution, of testing activities <across multiple streams or a functional stream (e.g. Gas Accounting)>. This role works closely with business and technical teams to ensure solutions meet functional, technical, and regulatory requirements through effective test design, execution, and defect management.
• Analyze Requirements document, BPDs (business process definition) and other supporting documentation to understand business process and project's objectives
• Work closely with functional and technical teams in defining test scenarios and writing test cases/test scripts based on requirements traceability matrix, BPDs, process flow diagrams, design and build lean specifications, etc.
• Facilitate workshops with the business to review the test scenarios and test cases, updating, publishing and obtaining approval
• Participating in SIT, Regression Testing, User Acceptance Testing, etc. and helping coordinate cross-functional testing efforts across multiple teams, vendors and business units
• Assist in preparing and maintaining test data for execution
• Work closely with the test manager, Defect Manager, SAP functional consultants, technical teams, and business users for test execution, defect triage, and defect resolution throughout the testing lifecycle
• Working knowledge of at least 1 test management tool such as qTest or HPALM;
• Hold training/knowledge sharing sessions with other Test Leads/Test Analysts for knowledge sharing
Qualifications/ Typical Experience Level
• 5 - 8 years in QA / software testing
• SAP QA experience, preferably in the utilities space (SAP IS-U, SAP Oil and Gas)
• Experience working on enterprise systems (SAP, ERP, CRM)
Responsibilities
Responsible for supporting the planning, design, and execution, of testing activities <across multiple streams or a functional stream (e.g. Gas Accounting)>. This role works closely with business and technical teams to ensure solutions meet functional, technical, and regulatory requirements through effective test design, execution, and defect management.
• Analyze Requirements document, BPDs (business process definition) and other supporting documentation to understand business process and project's objectives
• Work closely with functional and technical teams in defining test scenarios and writing test cases/test scripts based on requirements traceability matrix, BPDs, process flow diagrams, design and build lean specifications, etc.
• Facilitate workshops with the business to review the test scenarios and test cases, updating, publishing and obtaining approval
• Participating in SIT, Regression Testing, User Acceptance Testing, etc. and helping coordinate cross-functional testing efforts across multiple teams, vendors and business units
• Assist in preparing and maintaining test data for execution
• Work closely with the test manager, Defect Manager, SAP functional consultants, technical teams, and business users for test execution, defect triage, and defect resolution throughout the testing lifecycle
• Working knowledge of at least 1 test management tool such as qTest or HPALM;
• Hold training/knowledge sharing sessions with other Test Leads/Test Analysts for knowledge sharing
Qualifications/ Typical Experience Level
• 5 - 8 years in QA / software testing
• SAP QA experience, preferably in the utilities space (SAP IS-U, SAP Oil and Gas)
• Experience working on enterprise systems (SAP, ERP, CRM)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Overview
We are seeking experienced professionals with strong instrument reference data expertise to support reference data onboarding, governance, and management. The role requires deep domain understanding combined with data management capabilities to drive high-quality, governed data solutions across Risk, Finance, and Technology functions.
Mandatory Requirement (Must Have)
Strong hands-on experience in Instrument Reference Data (via Operations or Technology roles)
Deep understanding of financial instruments and associated attributes (e.g., equities, fixed income, derivatives, structured products)
Proven knowledge of reference data lifecycle, sourcing, and governance
Proven knowledge in Financial data vendors (e.g., Bloomberg, Reuters, Markit) , Instrument data standards (ISIN, CUSIP, LEI, etc.) and Regulatory context (e.g., Basel, CCAR, Risk/Finance reporting)
Secondary Skills (Good to Have)
Experience in requirements management / business analysis
Exposure to ETL processes, data integration, and transformation frameworks
Familiarity with data warehousing / data platforms
Understanding of data governance tools and frameworks
Required Experience
5–10 years (flexible based on role level)
Experience in Capital Markets / Banking domain
Hands-on exposure to:
Reference data systems or platforms
Data modelling (conceptual/logical/physical)
Data mapping & transformation
Reference data systems or platforms
Key Competencies
Strong analytical and problem-solving skills
Ability to bridge business and technology
Excellent stakeholder management and communication
Detail-oriented with focus on data quality and governance
Responsibilities
Role Overview
We are seeking experienced professionals with strong instrument reference data expertise to support reference data onboarding, governance, and management. The role requires deep domain understanding combined with data management capabilities to drive high-quality, governed data solutions across Risk, Finance, and Technology functions.
Mandatory Requirement (Must Have)
Strong hands-on experience in Instrument Reference Data (via Operations or Technology roles)
Deep understanding of financial instruments and associated attributes (e.g., equities, fixed income, derivatives, structured products)
Proven knowledge of reference data lifecycle, sourcing, and governance
Proven knowledge in Financial data vendors (e.g., Bloomberg, Reuters, Markit) , Instrument data standards (ISIN, CUSIP, LEI, etc.) and Regulatory context (e.g., Basel, CCAR, Risk/Finance reporting)
Secondary Skills (Good to Have)
Experience in requirements management / business analysis
Exposure to ETL processes, data integration, and transformation frameworks
Familiarity with data warehousing / data platforms
Understanding of data governance tools and frameworks
Required Experience
5–10 years (flexible based on role level)
Experience in Capital Markets / Banking domain
Hands-on exposure to:
Reference data systems or platforms
Data modelling (conceptual/logical/physical)
Data mapping & transformation
Reference data systems or platforms
Key Competencies
Strong analytical and problem-solving skills
Ability to bridge business and technology
Excellent stakeholder management and communication
Detail-oriented with focus on data quality and governance
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Strong experience as a Functional Business Analyst, Senior Business Analyst, Technical Business Analyst or similar role
Proven ability to convert business requirements into functional specifications and technical specification inputs
Strong understanding of SDLC: discovery, requirements, design, build, testing, UAT, deployment and post-go-live support
Experience preparing BRD, FSD, user stories, acceptance criteria, process flows, data mapping, traceability matrix and UAT scenarios
Ability to understand applications, integrations, APIs, databases, reports, access flows and business process dependencies at a functional level
Ability to work with developers and architects to clarify logic, validations, workflow, data rules, interfaces and exception handling
Strong process analysis, gap analysis, impact assessment and business rules documentation skills
Experience with Agile/Scrum ceremonies including backlog refinement, sprint planning, sprint reviews and retrospectives
Experience with tools such as Jira, Azure DevOps, Confluence, SharePoint, ServiceNow, Visio, Lucidchart or equivalent
Ability to review test coverage, support defect triage and ensure test cases are aligned to requirements
Strong written and verbal communication skills with ability to work independently with senior stakeholders
Good understanding of IT governance, change management, release management and documentation control
Takes ownership of assigned deliverables, open points and stakeholder commitments
Understands business impact, service level expectations and quality standards
Responsibilities
Strong experience as a Functional Business Analyst, Senior Business Analyst, Technical Business Analyst or similar role
Proven ability to convert business requirements into functional specifications and technical specification inputs
Strong understanding of SDLC: discovery, requirements, design, build, testing, UAT, deployment and post-go-live support
Experience preparing BRD, FSD, user stories, acceptance criteria, process flows, data mapping, traceability matrix and UAT scenarios
Ability to understand applications, integrations, APIs, databases, reports, access flows and business process dependencies at a functional level
Ability to work with developers and architects to clarify logic, validations, workflow, data rules, interfaces and exception handling
Strong process analysis, gap analysis, impact assessment and business rules documentation skills
Experience with Agile/Scrum ceremonies including backlog refinement, sprint planning, sprint reviews and retrospectives
Experience with tools such as Jira, Azure DevOps, Confluence, SharePoint, ServiceNow, Visio, Lucidchart or equivalent
Ability to review test coverage, support defect triage and ensure test cases are aligned to requirements
Strong written and verbal communication skills with ability to work independently with senior stakeholders
Good understanding of IT governance, change management, release management and documentation control
Takes ownership of assigned deliverables, open points and stakeholder commitments
Understands business impact, service level expectations and quality standards
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
JD :
1. AI Development Engineers (3 Roles) - (Experience range : 4-9 Years - SA)
Overview:
Full-stack or specialized engineers with a blended skillset across AI, cloud platforms, and enterprise integrations.
Key Responsibilities:
Design, develop, and maintain scalable applications and services
Build and integrate AI-powered solutions using Microsoft Copilot Studio and Azure Foundry (AI bots)
Develop backend services using Java, with emphasis on Spring Boot framework
Implement and support Workday integrations (Workday Studio, Extend, Orchestrate)
Collaborate on API design, system integration, and data flows
Apply best practices in cloud architecture, networking, and security
Contribute to code reviews, documentation, and knowledge sharing
Desired Skills
Microsoft Copilot Studio development
Azure AI Foundry (AI bots and intelligent workflows)
Java / Spring Boot development
Workday integration tools (Studio, Extend, Orchestrate) - Implement and support Workday integrations (Workday Studio, Extend, Orchestrate) – Mandatory
Cloud architecture and networking fundamentals
Responsibilities
JD :
1. AI Development Engineers (3 Roles) - (Experience range : 4-9 Years - SA)
Overview:
Full-stack or specialized engineers with a blended skillset across AI, cloud platforms, and enterprise integrations.
Key Responsibilities:
Design, develop, and maintain scalable applications and services
Build and integrate AI-powered solutions using Microsoft Copilot Studio and Azure Foundry (AI bots)
Develop backend services using Java, with emphasis on Spring Boot framework
Implement and support Workday integrations (Workday Studio, Extend, Orchestrate)
Collaborate on API design, system integration, and data flows
Apply best practices in cloud architecture, networking, and security
Contribute to code reviews, documentation, and knowledge sharing
Desired Skills
Microsoft Copilot Studio development
Azure AI Foundry (AI bots and intelligent workflows)
Java / Spring Boot development
Workday integration tools (Studio, Extend, Orchestrate) - Implement and support Workday integrations (Workday Studio, Extend, Orchestrate) – Mandatory
Cloud architecture and networking fundamentals
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
