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Oracle Fusion Finance GL Consultant

Responsibilities

Oracle Fusion Finance GL Consultant
  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Oracle Fusion Finance GL Consultant

Job Description

Net Fullstack Developer

Responsibilities

  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Net Fullstack Developer

Job Description

Key Responsibilities 1. Talent Acquisition Process Excellence · Coordinate end-to-end interview scheduling across stakeholders (candidates, interview panels, HR partners). · Ensure timely closure of scheduling requests, minimizing delays and improving cycle time. 2. Candidate Experience & Engagement · Deliver a consistent, respectful, and engaging candidate experience at every touchpoint. · Communicate proactively with candidates on interview schedules, updates, and next steps. · Act as a single point of contact for candidates during coordination phases. 3. Stakeholder Collaboration · Partner closely with recruiters, hiring managers, and interviewers to ensure alignment on scheduling priorities. · Support hiring teams with timely updates, availability tracking, and coordination challenges. 4. Data Integrity & Compliance · Ensure accurate and real-time updates in ATS/HR systems (interview status, candidate details, scheduling logs). · Maintain compliance with internal hiring policies, audit requirements, and data privacy standards. 5. Continuous Improvement · Identify inefficiencies in scheduling and coordination workflows and proactively suggest improvements. · Contribute to process standardization and automation initiatives.

Responsibilities

Key Skills & Capabilities · Strong coordination and organizational skills with attention to detail · Effective communication (written & verbal) with a professional and empathetic approach · Ability to manage multiple priorities and stakeholders simultaneously · Problem-solving mindset with a focus on process improvement
  • Salary : Rs. 8,00,000.0 - Rs. 12,00,000.0
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Recruitment Coordinator

Job Description

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
  • Role Category :Programming & Design
  • Role :Senior Business Analyst

Job Description

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

Job Description

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
  • Role Category :Programming & Design
  • Role : SAS Administrator

Job Description

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
  • Role Category :Programming & Design
  • Role :platform and data engineer.

Job Description

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
  • Role Category :Programming & Design
  • Role :Ops Engineer

Job Description

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 Category :Programming & Design
  • Role :SAP Testing