Json Jobs

Integration Functional Analyst

SACHA Engineering•

Pune

•full time

Job Summary We are seeking a skilled and experienced Integration Functional Analyst to join our dynamic team. This role will be instrumental in ensuring the seamless integration of various systems and data flows within our IT environment. The ideal candidate will possess a strong analytical mindset, excellent communication skills, and a proven ability to troubleshoot complex integration issues. This is a hybrid role requiring a balance of remote and in-office work. Key Responsibilities The Integration Functional Analyst will be responsible for analyzing, designing, and implementing integration solutions. This includes mapping data sources, identifying and resolving integration issues, and collaborating with cross-functional teams to ensure successful project delivery. Required Skills & Qualifications APIs : Demonstrated proficiency in working with Application Programming Interfaces (APIs) to facilitate data exchange between systems. REST : Solid understanding of Representational State Transfer (REST) architectural style for building and consuming APIs. SOAP : Experience with Simple Object Access Protocol (SOAP) for web services integration. JSON : Ability to work with JavaScript Object Notation (JSON) data format for data exchange. XML : Familiarity with Extensible Markup Language (XML) for data representation and integration. ESB : Knowledge of Enterprise Service Bus (ESB) concepts and experience with ESB platforms. Middleware : Understanding of middleware technologies and their role in integration processes. SQL : Strong proficiency in Structured Query Language (SQL) for data retrieval and manipulation. MuleSoft : Experience with MuleSoft Anypoint Platform for integration development and deployment. SAP CPI : Familiarity with SAP CPI (Cloud Platform Integration) for cloud-based integration scenarios. Dell Boomi : Experience with Dell Boomi for integration platform as a service (iPaaS) solutions. Process Mapping : Ability to create and maintain process maps to visually represent integration workflows. Source-to-target data mapping : Skill in defining and implementing accurate source-to-target data mappings for seamless data integration. Root-cause troubleshooting : Proven ability to identify and resolve the root cause of complex integration issues. Agile : Experience working within an Agile development framework. Scrum : Familiarity with Scrum methodologies for iterative development and project management. Jira : Proficiency in using Jira for issue tracking and project management. Azure DevOps : Experience with Azure DevOps for continuous integration and continuous delivery (CI/CD). Interpersonal Skills : Excellent interpersonal skills to effectively collaborate with stakeholders and team members. Analytical Skills : Strong analytical skills to analyze complex data and integration scenarios. Problem-Solving Skills : Demonstrated problem-solving skills to identify and resolve integration challenges. Communication Skills : Exceptional written and verbal communication skills to clearly convey technical information. Any Degree : A Bachelor's degree or equivalent is required. Experience Required: 8 - 15 years of relevant experience. This level of experience indicates a senior-level role requiring a high degree of autonomy and expertise in integration technologies. The candidate should be able to lead integration projects and mentor junior team members. What We Offer Salary: 30 LPA

CATIA Automation Engineer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and motivated CATIA Automation Engineer to join our team. This role will focus on developing and implementing automation solutions using CATIA V5 Automation to enhance design efficiency and data management processes. The ideal candidate will possess a strong foundation in mechanical engineering principles and a passion for leveraging technology to solve complex problems within a CAD environment. Key Responsibilities The CATIA Automation Engineer will be responsible for the following: Developing and maintaining automation scripts and applications using CATIA V5 Automation , C# , and .NET to streamline design workflows. Utilizing CATIA V5 Automation APIs and the CATIA Object Model to interact with CATPart , CATProduct , and CATDrawing files. Troubleshooting and debugging automation scripts to ensure accuracy and reliability. Collaborating with design engineers to identify opportunities for automation and process improvement. Creating and maintaining documentation for automation scripts and processes. Performing CAD Data Migration and CAD Standardization tasks as needed. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: A Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Computer Science, or a related discipline. 3 - 4 years of experience in a related role, demonstrating a solid understanding of automation principles and CAD software. Proficiency in CATIA V5 Automation , including the ability to develop and implement automation solutions. Strong programming skills in C# and .NET , with a solid understanding of Object-Oriented Programming (OOP) principles. Experience with VBA for automating tasks within CATIA V5 . Familiarity with CAD Geometry concepts, including Points , Lines , Planes , Curves , Surfaces , Vectors , and Coordinate Systems . Knowledge of Transformations and COM / COM Interop . Proficiency in using Visual Studio for development and Debugging . Experience with Windows Forms and WPF for creating user interfaces. Ability to work with data formats such as XML and JSON . Experience with data manipulation using Excel , CSV , and SQL . Strong Analytical Skills and Problem-Solving Skills . Experience with GitHub for version control.

Software Engineer (2) - Commodity Engineer 0

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking two experienced Software Engineers to join our team in Bangalore. This role focuses on the development and maintenance of our Pega platform, with a strong emphasis on Commodity Engineer principles. The ideal candidate will possess a strong foundation in software engineering principles and a passion for building robust and scalable solutions. Key Responsibilities This role requires a high level of proficiency in designing, developing, and implementing solutions within the Pega environment. You will be responsible for the entire software development lifecycle, from requirements gathering to deployment and ongoing support. A key aspect of this role will be leveraging Automation Tools and DevOps Practices to ensure efficient and reliable delivery of high-quality software. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 6-8 years of experience in software engineering is expected. This level of experience indicates a proven ability to independently design, develop, and implement complex software solutions, as well as mentor junior team members. Core Technologies: Pega and Pega PRPC Proficiency: Demonstrated expertise in the Pega platform, including Pega Constellation , Ruleset Strategy , Case Architecture , and Integration Architecture . Programming Languages: Strong proficiency in Python , C# , and JavaScript . .NET Development: Experience with .NET Developer , .Net Framework . RESTful Services, JSON, XML, HTTP, API: Ability to design and consume RESTful Services and work with data formats like JSON and XML . Cloud Technologies: Google Cloud Platform: Familiarity with Google Cloud Platform services. Cloud-Native Deployments: Experience with Cloud-Native Deployments , Kubernetes , AKS , and EKS . DevOps & Automation: DevOps Practices: Solid understanding of DevOps Practices , including CI/CD Pipelines and Release Governance . Automation Frameworks: Experience with Automation Frameworks . Pipeline Deployments: Ability to manage Pipeline Deployments and adhere to Merge Governance best practices. Data & Architecture: Data Model: Strong understanding of Data Model concepts. Microservices Architecture: Experience with Microservices Architecture . AI & Machine Learning: AI: Basic understanding of AI principles. GenAI: Exposure to GenAI concepts. Agentic AI: Familiarity with Agentic AI . Domain Knowledge: Banking, Financial Services: Understanding of Banking and Financial Services concepts, including Disputes , Cards , Payments , and Lending . Pega Smart Disputes: Experience with Pega Smart Disputes . Compliance, Regulatory Considerations: Awareness of Compliance and Regulatory Considerations . Other Skills: Analytical Skills: Strong Analytical Skills for problem-solving and data analysis. Problem-Solving Skills: Excellent Problem-Solving Skills to identify and resolve complex technical issues. Communication Skills: Effective Communication Skills to collaborate with cross-functional teams. What We Offer Salary: