Data Model Jobs

SAP BTP Integration & Build Apps Specialist

SACHA Engineering•

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced SAP BTP Integration & Build Apps Specialist to join our team in a hybrid work mode. This role will be pivotal in designing, building, and maintaining integrations and applications on the SAP Business Technology Platform (BTP) , ensuring alignment with business requirements and adherence to security and compliance standards. Key Responsibilities The SAP BTP Integration & Build Apps Specialist will be responsible for a range of tasks including, but not limited to, the design, development, and implementation of SAP BTP -based solutions. This includes building and maintaining CI/CD pipelines , ensuring application stability , and creating comprehensive technical documentation and operational runbooks . The role also involves collaborating with cross-functional teams to ensure seamless integration with existing S/4HANA systems and adherence to audit and compliance requirements. Required Skills & Qualifications SAP BTP : Demonstrated proficiency in utilizing SAP Business Technology Platform for application development and integration. Cloud Foundry : Strong understanding and practical experience with the Cloud Foundry platform. Destination & Connectivity Services : Expertise in configuring and managing Destination & Connectivity Services for secure and reliable data exchange. XSUAA : Proficiency in utilizing XSUAA for authentication and authorization within SAP BTP environments. Cloud Identity Services (IAS/IPS) : Experience with Cloud Identity Services (IAS/IPS) for managing user identities and access. Cloud Connector : Ability to configure and manage the Cloud Connector for hybrid scenarios. CI/CD pipelines : Experience in designing and implementing CI/CD pipelines for automated build, testing, and deployment. Git : Proficient in using Git for version control and collaborative development. SAP Build Apps : Experience in developing applications using SAP Build Apps , including Logic flows & data modeling and UI/UX configuration . Role-based access configuration : Ability to configure role-based access controls to ensure data security and compliance. Mobile/web deployment : Experience in deploying applications to mobile and web environments. OData services : Understanding of OData services for data integration and exchange. REST APIs : Experience working with REST APIs for application integration. CDS exposure (consumption) : Ability to consume CDS (Core Data Services) for data access. ABAP : Familiarity with ABAP programming for custom development and integration. SAP Integration Suite : Experience with SAP Integration Suite for integration scenarios. OAuth2, SAML : Knowledge of OAuth2 and SAML for secure authentication and authorization. Certificates : Ability to manage and configure Certificates for secure communication. Event Mesh : Understanding of Event Mesh for event-driven integration. Build Apps development standards : Adherence to Build Apps development standards for code quality and maintainability. Application stability : Focus on ensuring application stability and performance. Technical documentation : Ability to create clear and concise technical documentation . Operational runbooks : Experience in developing operational runbooks for incident response and troubleshooting. Audit, Compliance, Security standards : Understanding of audit , compliance , and security standards . Clean-core extensibility concepts : Knowledge of Clean-core extensibility concepts . CAP (Cloud Application Programming Model) : Experience with CAP (Cloud Application Programming Model) . S/4HANA business processes : Understanding of S/4HANA business processes , including FI , MM , and SD . SLA : Ability to meet SLA requirements. Experience Required: The ideal candidate will possess 8-15 years of relevant experience in SAP development and integration, demonstrating a strong track record of delivering high-quality solutions. What We Offer Salary: 30 LPA

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary:

CAE Analyst

RLE India Private Limited•

Chennai

•Full-time

CAE Analyst Job Description Job Summary We are seeking a skilled and motivated CAE Analyst to join our team in Chennai. This role will focus on performing comprehensive analyses to support the development and validation of automotive components and systems. The ideal candidate will possess a strong understanding of computational fluid dynamics, heat transfer, and structural analysis principles, along with proficiency in industry-standard CAE software. Key Responsibilities The CAE Analyst will be responsible for the following: Performing CFD , Heat Transfer , and Full Vehicle Analysis to evaluate the performance and durability of automotive components. Developing and executing CAE simulation models using ANSA , STAR CCM+ , ENSIGHT , and UH3D . Conducting Heat Exchanger analysis and generating Heat Exchanger Data Sheet . Performing FAN Modeling . Collaborating with engineering teams to interpret simulation results and provide design recommendations. Validating simulation results against experimental data and identifying areas for improvement. Creating and maintaining CAE simulation workflows and best practices. Required Skills & Qualifications To be considered for this position, candidates must possess the following: B.E / B.Tech / M.E / M.Tech degree in Mechanical Engineering or a related field. 3 - 6 years of experience in performing CAE analysis within the automotive industry. This level of experience indicates a proficiency in independently executing analyses, interpreting results, and contributing to design improvements. Proficiency in ANSA for mesh generation and pre-processing. Strong experience with RADTHERM/TAITHERM for thermal analysis. Expertise in STAR CCM+ for CFD simulations. Experience with ENSIGHT for post-processing and visualization of simulation results. Familiarity with Team Center for data management and collaboration. Solid understanding of Heat Transfer principles, including conduction, convection, and radiation. Strong foundation in Fluid Dynamics principles, including laminar and turbulent flow. Ability to effectively communicate technical findings and recommendations, both verbally and in written reports. Demonstrated ability to work effectively as a Team Player within a collaborative engineering environment. What We Offer Salary: 90 LPA - 105 LPA

CAE Analyst

RLE India Private Limited•

Chennai

•Full-time

CAE Analyst Job Description Job Summary We are seeking a skilled and experienced CAE Analyst to join our team in Chennai. This role is crucial for supporting our Automotive / Mechanical Engineering initiatives, ensuring the quality and durability of our components and systems. Key Responsibilities The CAE Analyst will be responsible for performing a wide range of CAE simulations and analyses to support product development and validation. This includes, but is not limited to, conducting structural analysis , stress analysis , and fatigue life prediction . The role will also involve root cause analysis and failure analysis to identify and resolve potential issues. The analyst will work closely with design and validation teams to ensure that designs meet performance and durability requirements. Required Skills & Qualifications The ideal candidate will possess a strong foundation in Mechanical Engineering and a proven ability to apply CAE principles to solve real-world engineering problems. A B.E / B.Tech / M.E / M.Tech degree is required. Non-linear FE analysis: Proficiency in performing advanced finite element analyses, including non-linear simulations to accurately predict component behavior under complex loading conditions. Abaqus: Demonstrated experience using Abaqus for conducting FE simulations. FE model building: Ability to create accurate and efficient FE models representing complex geometries and boundary conditions. Meshing: Expertise in generating high-quality meshes using industry-standard tools. HyperMesh: Experience utilizing HyperMesh for efficient mesh generation and model preparation. ANSA: Familiarity with ANSA for pre- and post-processing of FE models. Fatigue life prediction: Ability to perform fatigue life prediction using established methodologies and software. FEMFAT: Experience with FEMFAT for fatigue analysis and damage assessment. Structural analysis: A strong understanding of structural analysis principles and their application to automotive components. Stress analysis: Ability to perform detailed stress analysis to identify areas of high stress concentration and potential failure. Material modeling: Knowledge of material modeling techniques and their impact on simulation results. Contact definitions: Ability to accurately define and implement contact definitions in FE models. Reliability assessments: Experience in performing reliability assessments to evaluate the long-term performance of components. Durability assessments: Ability to conduct durability assessments to ensure components can withstand expected usage conditions. Root cause analysis: Proven ability to perform root cause analysis to identify the underlying causes of failures. Failure analysis: Experience in conducting failure analysis to determine the mechanisms of failure. Automotive engineering: A solid understanding of Automotive engineering principles and practices. Quality processes: Familiarity with quality processes and their application to product development. Robust design methodologies: Knowledge of robust design methodologies to create designs that are insensitive to variations in manufacturing and operating conditions. Manufacturing best practices: Understanding of manufacturing best practices and their impact on component performance. Transmission & driveline systems: Familiarity with Transmission & driveline systems and their components. Gears, Shafts, Clutches, Differentials, Propshafts, Half-shafts, Bearings: Knowledge of the design and analysis of these key components. HyperWorks: Experience with HyperWorks for CAE simulation and analysis. Fatigue life/Damage assessment: Ability to perform fatigue life/Damage assessment to predict component lifespan. Boundary conditions: Ability to accurately define and apply appropriate boundary conditions in FE models. Dynamic loading scenarios: Experience in simulating dynamic loading scenarios to evaluate component response to transient loads. Gear strength: Ability to assess gear strength and durability. Shaft durability: Ability to assess shaft durability under various loading conditions. Road load data: Experience in utilizing road load data for simulation. Simulation load cases: Ability to develop and apply appropriate simulation load cases . Physical test data: Ability to correlate simulation results with physical test data . Refine models: Ability to refine models based on simulation results and experimental data. Material properties: Understanding of material properties and their impact on simulation results. Manufacturing processes: Familiarity with manufacturing processes such as Forging, Casting, and Heat treatment . Component durability: Ability to assess component durability under various operating conditions. CAE simulation tools: Proficiency in using various CAE simulation tools . Customer usage profiles: Ability to incorporate customer usage profiles into simulation models. Duty cycles: Ability to define and apply appropriate duty cycles in simulations. Design robustness: Ability to assess and improve design robustness . DFMEA: Familiarity with DFMEA (Design Failure Mode and Effects Analysis). DVP&R: Understanding of DVP&R (Design Verification Plan and Release). Experience Required: The role requires 4 - 9 years of relevant experience in CAE analysis, preferably within the Automotive or Mechanical Engineering industry. Candidates with a strong track record of solving complex engineering problems and delivering high-quality results are highly encouraged to apply. What We Offer Salary: ₹10 LPA - ₹12 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

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and motivated Software Engineer to join our dynamic team. This is an onsite position within the IT / Technology industry. Key Responsibilities This role will involve a range of responsibilities related to software development and maintenance, leveraging a full stack skillset to contribute to our engineering design and manufacturing processes. Required Skills & Qualifications Teamcenter Development: Demonstrated proficiency in developing and maintaining applications within the Teamcenter environment. Java: Strong understanding and practical experience with Java programming language. Full Stack Development: Ability to work across the entire software development lifecycle, from front-end to back-end. GCP: Familiarity with Google Cloud Platform (GCP) for cloud-based solutions. ITK: Experience with ITK (Integration Toolkit) for seamless integration of systems. SOA: Solid understanding of Service Oriented Architecture (SOA) principles and implementation. BMIDE: Experience with Business Modeler IDE for efficient business process modeling. Business Modeler IDE: Ability to utilize Business Modeler IDE to design and implement business processes. XRT: Knowledge of XRT related functionalities. Engineering Design: Understanding of Engineering Design principles and their application in software development. Manufacturing: Knowledge of Manufacturing processes and their integration with software systems. Active Workspace: Experience with Active Workspace for user interaction and data management. Data Models: Ability to design and implement robust Data Models . Business Objects: Experience working with Business Objects and their manipulation. Attributes: Understanding of Attributes and their role in data management. GRM Rules: Ability to configure and manage GRM (Group Rules Management) rules. LOVs: Experience with LOVs (Lists of Values) and their implementation. Declarative UI Components: Ability to develop and utilize Declarative UI Components for user interfaces. Root Cause Analysis: Strong analytical skills with the ability to perform Root Cause Analysis to identify and resolve issues. Database Queries: Proficiency in writing and executing Database Queries for data retrieval and manipulation. PLM Best Practices: Knowledge of PLM (Product Lifecycle Management) Best Practices . Integration Toolkit: Experience with Integration Toolkit for system integration. Web Services: Understanding of Web Services and their implementation. Qualifications: A Bachelor's Degree is required. Experience Required: 4 - 5 years of relevant experience are expected, demonstrating a solid foundation in software engineering principles and practices. This level of experience indicates a readiness to contribute independently and collaboratively within a team. What We Offer Salary: 15 LPA - 16 LPA

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 Chennai. The ideal candidate will possess a strong foundation in software development principles and a proven ability to design, develop, and maintain robust and scalable applications. This role requires a highly analytical and detail-oriented individual with excellent communication skills and a passion for problem-solving. Key Responsibilities Responsibilities will include designing, developing, and testing software solutions. The role will also involve collaborating with cross-functional teams to ensure the successful and timely delivery of high-quality software. The candidate will be expected to contribute to all phases of the software development lifecycle, from requirements gathering to deployment and maintenance. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 6 - 6 years of experience in software engineering is expected. This level of experience indicates a seasoned professional capable of working independently and mentoring junior team members. Web Development: Demonstrated proficiency in Web development technologies and best practices. Application Development: Experience in developing and maintaining complex Application software solutions. Messaging Servers: Working knowledge of Messaging Servers and their configuration. Relational Databases: Strong understanding of Relational Databases , including design, querying, and optimization. Data Modeling: Ability to create and implement effective Data Modeling techniques. Data Mining: Experience with Data Mining techniques to extract valuable insights from data. Analytical Skills: Exceptional Analytical Skills to identify and resolve complex technical challenges. Problem-Solving Skills: Proven Problem-Solving Skills to effectively troubleshoot and resolve software defects. Communication Skills: Excellent Communication Skills to clearly and concisely convey technical information to both technical and non-technical audiences. User Interface: Familiarity with User Interface design principles and best practices. Server Side: Experience in Server Side development and deployment. Agile: Proficiency in Agile development methodologies. Test-Driven Development: Experience with Test-Driven Development (TDD) principles and practices. Continuous Integration: Knowledge of Continuous Integration (CI) tools and processes. Continuous Delivery: Understanding of Continuous Delivery (CD) pipelines and best practices. Encryption: Familiarity with Encryption techniques and their application in software development. Anonymization: Knowledge of Anonymization techniques for data privacy and security. What We Offer Salary:

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•Full-time

Artificial Intelligence Senior Associate Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge AI and ML initiatives within a dynamic Technology environment. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI and ML models and systems. This includes collaborating with cross-functional teams to define project requirements, designing and implementing solutions, and ensuring the quality and reliability of deployed models. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms, techniques, and their practical applications. GCP : Proficiency in utilizing Google Cloud Platform ( GCP ) for developing and deploying AI and ML solutions. This includes experience with GCP services such as Vertex AI, BigQuery, and Cloud Storage. GenAI : Experience with Generative AI models and techniques, including understanding of large language models and their applications. AI Agents : Familiarity with the principles and implementation of AI Agents , including their design, development, and integration into existing systems. MLOps : Knowledge of MLOps practices and tools for automating and streamlining the machine learning lifecycle, from model development to deployment and monitoring. RESTful APIs : Ability to design and implement RESTful APIs for integrating AI and ML models with other systems and applications. Microservices : Experience with microservices architecture and its application in building scalable and resilient AI and ML systems. Data Pipelines : Ability to design and implement robust and efficient data pipelines for ingesting, transforming, and preparing data for AI and ML models. Model Monitoring : Experience with model monitoring techniques and tools for tracking model performance and identifying potential issues. Model Governance : Understanding of model governance principles and best practices for ensuring the ethical and responsible use of AI and ML models. Serverless : Familiarity with serverless computing concepts and technologies for building scalable and cost-effective AI and ML applications. Containerized : Experience with containerized deployments using technologies like Docker and Kubernetes . Agile : Experience working in an Agile development environment, with a focus on iterative development and continuous improvement. Product Management : Ability to collaborate with product management teams to define requirements and translate them into technical solutions. Reasoning : Strong analytical and reasoning skills for problem-solving and decision-making in complex situations. Tool-use : Ability to effectively utilize various AI and ML tools and technologies. APIs : Understanding of APIs and their role in integrating AI and ML models with other systems. Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI and ML . What We Offer We offer a competitive compensation package.

Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking two experienced Software Engineers to join our team in Bangalore. This role offers an opportunity to contribute to innovative projects within the IT / Technology industry. Key Responsibilities The specifics of key responsibilities were not provided. This section will be populated with responsibilities as they become available. Required Skills & Qualifications The ideal candidate will possess a strong foundation in software engineering principles and a proven ability to apply them to complex challenges. The following skills and qualifications are essential: SaaS : Demonstrated experience with Software as a Service (SaaS) platforms and architectures. MDM : Familiarity with Mobile Device Management (MDM) principles and technologies. Java : Proficiency in Java programming language, including object-oriented design and implementation. Informatica : Experience with Informatica for data integration and transformation. CDI : Understanding of Customer Data Integration ( CDI ) concepts and methodologies. CAI : Knowledge of Customer Analytics and Intelligence ( CAI ) tools and techniques. CDQ : Experience with CDQ for data quality management and improvement. CLAIRE : Familiarity with CLAIRE , a data science platform. API : Strong understanding of API design and development principles. REST : Proficiency in building and consuming REST ful APIs. Business Entity Modeling : Ability to create and maintain accurate Business Entity Models . Cost-Optimized Design : Experience in designing solutions with a focus on cost optimization. AI-Powered Match & Merge : Knowledge of AI -powered data matching and merging techniques. Ingestion : Experience with data ingestion processes and technologies. Integration : Proven ability to integrate disparate systems and data sources. Data Quality : Strong understanding of Data Quality principles and best practices. Legacy Mapping : Ability to map and understand Legacy systems and data structures. Workflow : Experience in designing and implementing Workflow solutions. Governance : Understanding of data Governance principles and practices. API Management : Experience with API Management platforms and tools. Encryption : Knowledge of data Encryption techniques and best practices. Anonymization : Experience with data Anonymization techniques. Analytical Skills : Strong analytical and problem-solving skills. Problem-Solving Skills : Demonstrated ability to identify and resolve complex technical issues. Communication Skills : Excellent written and verbal Communication Skills . Qualifications: A Bachelor's Degree is required. Experience Required: 10 - 10 years of relevant experience are expected, indicating a senior level of expertise and a proven track record in software engineering. What We Offer Salary: The salary details were not provided.