Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks Build scalable backend systems using Python, ensuring seamless integration with UI/UX components Design and optimize generative AI models to address diverse business challenges Fine-tune pre-trained LLMs to align with specific use cases Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions Collaborate with clients to gather requirements and develop customized AI capabilities Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and performance

Location: Bengaluru(Embassy Tech Village) Work Mode: Hybrid(2-3 days a week from office) Experience: 5-10 Years Technical capabilities - 5+ yrs of experience as SDET in the data testing of any form (data extract, transform, load) Test Automation experience with non-GUI applications (Backend, API, Data) Experience with testing frameworks like PyTest, JIRA XRAY, Selenium, Cypress, Mable, Postman, etc. Hands-on experience in one or more programming languages like Python, Nodejs Expertise in end-to-end test automation and automation framework using Python Hands-on experience in test, develop and deploy frameworks in AWS Cloud, for data related use cases like data ingestion, data curation, data wrangling etc. Responsibilities - Ensure data validation and integrity during migration and data pipeline workflows. - ETL automation testing by validating end to end data pipelines. - Automate workflows in AWS for scalability and performance optimization. - Leverage CICD for continuous testing and deployment of data pipelines. - Write complex SQL queries for debugging and data retrieval. - Develop framework to support data testing for regression. Desired qualifications - Experience with ETL testing and data pipelines. - Proficiency in programming and scripting languages (e.g., Python, SQL). - Strong background in automation testing and developing test cases. - Working knowledge of AWS. - Understanding of DevOps practices. - Experience in database testing and data migration. - Excellent communication and collaboration skills. - Experience with API testing and testing frameworks. - Familiarity with container technologies (e.g., Docker, Kubernetes). - Strong analytical and problem-solving skill

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. You will be responsible for building and maintaining scalable data pipelines, optimizing data systems, and ensuring data is clean, reliable, and ready for analysis. Mandatory Skills- Python, AWS (Glue & Lambda), SQL, Pyspark, Any other cloud Key Responsibilities: Design, develop, and maintain robust ETL/ELT pipelines. Work with structured and unstructured data from multiple sources. Build and maintain data warehouse/data lake infrastructure. Ensure data quality, integrity, and governance practices. Collaborate with data scientists, analysts, and other engineers to deliver data solutions. Optimize data workflows for performance and scalability. Monitor and troubleshoot data pipeline issues in real-time. Required Qualifications: Bachelors or master’s )degree in computer science, Engineering, or related field. Strong experience with SQL and relational databases (e.g., PostgreSQL, MySQL). Proficient in Python, Pyspark, Any cloud (Azure or AWS ), Experience with cloud platforms (e.g., AWS, GCP, Azure). Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, Big Query).

Design, develop, and maintain scalable and reusable test automation frameworks . Build robust automated tests for web, API, and mobile applications using tools like Selenium, Cypress, Appium, and RestAssured . Collaborate with developers, QA engineers, and product managers to define and execute test plans and strategies. Integrate test automation into CI/CD pipelines using tools like Jenkins, GitLab, or Azure DevOps . Perform code reviews and mentor junior QA engineers on automation best practices. Ensure quality metrics are captured and defects are documented and tracked via JIRA or similar tools. Develop BDD scenarios and integrate with Cucumber or similar tools. Participate in Agile/Scrum ceremonies , including sprint planning, retrospectives, and daily stand-ups. Identify performance bottlenecks and assist in performance testing when needed. Show more Show less

KEY ACCOUNTABILITIES Analyse business requirements and support\create design for requirements Build and deploy new/changes to data mappings, sessions, and workflows in Azure Cloud Platform key focus area would be Azure Data Factory. Develop performant code Perform ETL routines performance tuning, troubleshooting, support, and capacity estimation. Conduct thorough testing of ETL code changes to ensure quality deliverables Provide day-to-day support and mentoring to end users who are interacting with the data Profile and understand large amounts of source data available, including structured and semi-structured/web activity data Analyse defects and provide fixes Provide release notes for deployments Support Release activities Problem solving attitude Keep up to date with new skills - Develop technology skills in other areas of Platform FUNCTIONAL / TECHNICAL SKILLS Skills and Experience: Experienced in ETL tools, data projects Recent Azure experience – Strong knowledge of Azure Data Factory and Databricks Python knowledge would be highly desirable Strong knowledge of SQL Strong Analytical skills Azure DevOps knowledge Experience Logic Apps would be desirable Experience with Azure Functions would be a plus. Day to day decisions around coding and unit testing.

Key Responsibilities: Design, develop, and maintain scalable backend services using Python (Django/Flask/FastAPI). Build responsive and dynamic user interfaces using React.js , Redux, and related technologies. Architect, deploy, and manage cloud services using AWS (Lambda, EC2, S3, API Gateway, RDS, etc.). Implement RESTful APIs and integrate third-party services. Optimize applications for performance, scalability, and security. Collaborate with product managers, designers, and other developers in an Agile/Scrum environment. Set up CI/CD pipelines, automated testing, and cloud monitoring tools. Participate in code reviews and mentor junior developers if needed. Required Skills: Backend (Python): Strong experience with Python (3.x) Frameworks: Django, Flask, or FastAPI REST API development and integration Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) Frontend (React): Proficient in React.js , Redux, JavaScript (ES6+), HTML5, CSS3 Knowledge of component-based architecture and modern UI design Familiarity with tools like Webpack, Babel, and npm/yarn Cloud (AWS): Proficiency with AWS services : Lambda, EC2, S3, API Gateway, RDS, DynamoDB, CloudFormation Experience with CI/CD using AWS CodePipeline, GitHub Actions, Jenkins, etc. Infrastructure as Code (IaC) Terraform or AWS CDK Preferred Qualifications: AWS Certification (Developer Associate / Solutions Architect) Knowledge of GraphQL, WebSockets, or Serverless architecture Experience in monitoring/logging tools (CloudWatch, ELK stack) Education: Bachelors or Master’s in Computer Science, Engineering, or a related field.

We are looking for a skilled and innovative Generative AI Developer to design, develop, and deploy AI-powered applications. The ideal candidate will have expertise in working with large language models (LLMs), Generative AI technologies, and software development, with a focus on creating impactful solutions for real-world problems. Key Responsibilities Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks Build scalable backend systems using Python, ensuring seamless integration with UI/UX components Design and optimize generative AI models to address diverse business challenges Fine-tune pre-trained LLMs to align with specific use cases Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions Collaborate with clients to gather requirements and develop customized AI capabilities Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and : Bachelors Degree (preferred CS/IT) in advanced analytics or ML or Master's in Machine Learning, Statistics, Econometrics, or a related field 3-10 years of professional experience in Data Science or AI/ML application development. Hands-on experience with Generative AI models and frameworks Stay updated on industry trends, emerging technologies and best practices in Gen AI & Data Skills : Proficiency in Python for application development Experience working with Generative AI frameworks and libraries (e.g., Hugging Face, OpenAI API, LangChain) Strong knowledge of LLMs and fine-tuning techniques Experience with RAG (Retrieval-Augmented Generation) techniques & Agentic workflow Hands-on experience with Python web frameworks like Flask, FastAPI, or Django Familiarity with cloud platforms (Azure, AWS, or GCP) for deployment and scaling Frontend development skills (HTML, JavaScript, React) Strong problem-solving and debugging skills Experience with version control systems such as Git/Bitbucket Understanding of MLOps frameworks for model lifecycle management Exposure to DevOps culture with hands on experience in Jenkins for CI/CD would be added advantage. Knowledge on containerization utilizing Dockers and Kubernetes will be added advantage (ref:hirist.tech) Show more Show less

Salesforce Developer Financial Services Cloud & OmniStudio (Remote, US Shift). Responsibilities Design, develop, and implement customized solutions within the Salesforce platform, leveraging Apex, Lightning Web Components (LWC), Flows, and other relevant technologies. Utilize OmniStudio (FlexCards, OmniScripts, DataRaptors, Integration Procedures) extensively to build user-friendly and efficient customer journeys. Leverage your deep understanding of Salesforce Financial Services Cloud to build and configure solutions tailored to the financial services industry. Collaborate with business analysts, project managers, and other stakeholders to understand requirements and translate them into technical designs. Develop and maintain integrations between Salesforce and other systems. Perform thorough testing and ensure the quality and stability of developed solutions. Troubleshoot and resolve technical issues. Stay up-to-date with the latest Salesforce releases, features, and best practices. Participate in code reviews and contribute to maintaining high code quality standards. Work effectively in a remote environment and communicate proactively with the team. Required Skills & Experience Experience : 5+ years of hands-on experience as a Salesforce Developer. Mandatory : Proven and strong prior experience working with Salesforce Financial Services Cloud (FSC). Mandatory : Heavy and demonstrable experience with Salesforce OmniStudio (including FlexCards, OmniScripts, DataRaptors, and Integration Procedures). Mandatory : Strong proficiency in Salesforce Flows (Screen Flows, Auto-launched Flows, Record-triggered Flows, etc. Mandatory : Solid understanding and practical experience with Apex development, including Triggers, Classes, and Batch Jobs. Strong understanding of Salesforce declarative development tools. Experience with data modeling, data migration, and data integration within Salesforce. Familiarity with Salesforce development best practices, design patterns, and governor limits. Excellent problem-solving and analytical skills. Strong communication and collaboration skills, with the ability to work effectively in a remote team environment. Ability to manage time effectively and prioritize tasks to meet deadlines. Preferred Skills (Nice To Have) Salesforce certifications (e.g, Platform Developer I, Platform Developer II, Financial Services Cloud Consultant). Experience with Lightning Web Components (LWC). Experience with CI/CD tools and processes. Familiarity with Agile development methodologies. Experience with other Salesforce clouds (e.g, Sales Cloud, Service Cloud) (ref:hirist.tech) Show more Show less

Generative AI Architect Skills We are seeking a dynamic and experienced Generative AI Architect to lead cutting-edge projects in the ML and GenAI space. The ideal candidate will play a pivotal role in business development, solution design, and application development, with a strong focus on leveraging Generative AI and LLM technologies. This position demands expertise in creating innovative solutions, hands-on technical skills, and the ability to guide and grow a talented : Act as a thought leader in the Generative AI space. Independently conceptualize and develop demos, POCs, and accelerators. Drive end-to-end business development activities in the ML & GenAI domain. Build and scale a team of data scientists and app developers. Be an individual contributor, solving real-world problems using LLMs and GenAI technologies. Develop and deploy applications with Python as the backend for UI-based solutions. Design, test, and deploy data analytics pipelines using Python and SQL on Azure/AWS/GCP platforms. Author high-level and low-level design documents (HLD/LLD) and technical specifications. Implement web technologies with hands-on experience in Python frameworks such as Flask, FastAPI, or Django. Utilize frontend technologies like HTML, JavaScript, and React to support application : Bachelor's Degree (preferred Computer Science/IT) in advanced analytics or ML, or Master's in Machine Learning, Statistics, Econometrics, or a related field with 6+ years of experience. Experience in designing and architecting ML-based solutions on Azure/AWS/GCP. Deep expertise in Generative AI, LLMs, and GPT technologies. Strong understanding of web architecture and development. Stay updated on industry trends, emerging technologies, and best practices in Gen AI & Data Science. Proficiency in Generative AI/LLM technologies. Hands-on experience with Python and SQL for backend development. Expertise in Python web frameworks like Flask, FastAPI, or Django. Familiarity with frontend technologies (HTML, JavaScript, React). Strong software development background with cloud experience on Azure/AWS platforms. Experience with version control systems such as Git. Exposure to DevOps culture with hands-on experience in Jenkins for CI/CD would be an added advantage. Knowledge on containerization utilizing Docker and Kubernetes will be added advantage. (ref:hirist.tech) Show more Show less

Location : Gurugram (Hybrid - 2 Days WFO) Required : .5+ years of experience in full-stack solution development using technologies such as Java, Spring Boot, and Microservices, Angular, Materia l, messaging frameworks, application servers, etc .Deep understanding of Object-oriented programming, multithreading, performance monitoring, and tuning .Ability to code/debug and guide others to code/debug flexible, scalable, and complex programs, using either written or verbal design specification sResponsible for end-to-end application development and maintenance activities .Writes solid code to add new or enhance existing functionality .Write design specifications for the product requirements .Perform code analysis and reviews of other team members' work . Show more Show less

Responsibilities Design, develop, and implement customized solutions within the Salesforce platform, leveraging Apex, Lightning Web Components (LWC), Flows, and other relevant technologies. Utilize OmniStudio (FlexCards, OmniScripts, DataRaptors, Integration Procedures) extensively to build user-friendly and efficient customer journeys. Leverage your deep understanding of Salesforce Financial Services Cloud to build and configure solutions tailored to the financial services industry. Collaborate with business analysts, project managers, and other stakeholders to understand requirements and translate them into technical designs. Develop and maintain integrations between Salesforce and other systems. Perform thorough testing and ensure the quality and stability of developed solutions. Troubleshoot and resolve technical issues. Stay up-to-date with the latest Salesforce releases, features, and best practices. Participate in code reviews and contribute to maintaining high code quality standards. Work effectively in a remote environment and communicate proactively with the Skills & Experience : 5+ years of hands-on experience as a Salesforce : Proven and strong prior experience working with Salesforce Financial Services Cloud : Heavy and demonstrable experience with Salesforce OmniStudio (including FlexCards, OmniScripts, DataRaptors, and Integration : Strong proficiency in Salesforce Flows (Screen Flows, Auto-launched Flows, Record-triggered Flows, : Solid understanding and practical experience with Apex development, including Triggers, Classes, and Batch Jobs. Strong understanding of Salesforce declarative development tools. Experience with data modeling, data migration, and data integration within Salesforce. Familiarity with Salesforce development best practices, design patterns, and governor limits. Excellent problem-solving and analytical skills. Strong communication and collaboration skills, with the ability to work effectively in a remote team environment. Ability to manage time effectively and prioritize tasks to meet Skills (Nice To Have) : Salesforce certifications (e.g, Platform Developer I, Platform Developer II, Financial Services Cloud Consultant). Experience with Lightning Web Components (LWC). Experience with CI/CD tools and processes. Familiarity with Agile development methodologies. Experience with other Salesforce clouds (e.g, Sales Cloud, Service Cloud) (ref:hirist.tech) Show more Show less

We are looking for a highly skilled Generative AI Developer : Responsibilities We are looking for a highly skilled Generative AI Developer with expertise in Large Language Models (LLMs) to join our AI/ML innovation team. The ideal candidate will be responsible for building, fine-tuning, deploying, and optimizing generative AI models to solve complex real-world problems. You will collaborate with data scientists, machine learning engineers, product managers, and software developers to drive forward next-generation AI-powered Responsibilities : Design and develop AI-powered applications using large language models (LLMs) such as GPT, LLaMA, Mistral, Claude, or similar. Fine-tune pre-trained LLMs for specific tasks (e.g., text summarization, Q&A systems, chatbots, semantic search). Build and integrate LLM-based APIs into products and systems. Optimize inference performance, latency, and throughput of LLMs for deployment at scale. Conduct prompt engineering and design strategies for prompt optimization and output consistency. Develop evaluation frameworks to benchmark model quality, response accuracy, safety, and bias. Manage training data pipelines and ensure data privacy, compliance, and quality standards. Experiment with open-source LLM frameworks and contribute to internal libraries and tools. Collaborate with MLOps teams to automate deployment, CI/CD pipelines, and monitoring of LLM solutions. Stay up to date with state-of-the-art advancements in generative AI, NLP, and foundation Skills Required : LLMs & Transformers: Deep understanding of transformer-based architectures (e.g., GPT, BERT, T5, LLaMA, Falcon). Model Training/Fine-Tuning: Hands-on experience with training/fine-tuning large models using libraries such as Hugging Face Transformers, DeepSpeed, LoRA, PEFT. Prompt Engineering: Expertise in designing, testing, and refining prompts for specific tasks and outcomes. Python: Strong proficiency in Python with experience in ML and NLP libraries. Frameworks: Experience with PyTorch, TensorFlow, Hugging Face, LangChain, or similar frameworks. MLOps: Familiarity with tools like MLflow, Kubeflow, Airflow, or SageMaker for model lifecycle management. Data Handling: Experience with data pipelines, preprocessing, and working with structured and unstructured Desirable Skills : Deployment: Knowledge of deploying LLMs on cloud platforms like AWS, GCP, Azure, or edge devices. Vector Databases: Experience with FAISS, Pinecone, Weaviate, or ChromaDB for semantic search applications. LLM APIs: Experience integrating with APIs like OpenAI, Cohere, Anthropic, Mistral, etc. Containerization: Docker, Kubernetes, and cloud-native services for scalable model deployment. Security & Ethics: Understanding of LLM security, hallucination handling, and responsible AI : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 2-4 years of experience in ML/NLP roles with at least 12 years specifically focused on generative AI and LLMs. Prior experience working in a research or product-driven AI team is a plus. Strong communication skills to explain technical concepts and findings Skills : Analytical thinker with a passion for solving complex problems. Team player who thrives in cross-functional settings. Self-driven, curious, and always eager to learn the latest advancements in AI. Ability to work independently and deliver high-quality solutions under tight deadlines. (ref:hirist.tech) Show more Show less

We are looking for a highly skilled and experienced Full Stack Developer with a strong background in Java, Spring Boot, Microservices, and Angular to join our development team. The ideal candidate will be responsible for the design, development, and maintenance of scalable and high-performance applications. This role requires deep technical knowledge, strong problem-solving abilities, and the capacity to lead and mentor junior developers. Key Responsibilities Design and develop robust, scalable, and secure full-stack applications using Java (Spring Boot) on the backend and Angular with Material Design on the frontend. Responsible for end-to-end application development from requirement analysis and design to development, testing, deployment, and maintenance. Write clean, efficient, and maintainable code that adheres to best practices in software engineering. Collaborate with cross-functional teams including Product Managers, UI/UX Designers, QA Engineers, and DevOps. Review and interpret business requirements into technical solutions. Conduct code reviews, mentor junior developers, and ensure code quality through static analysis, unit testing, and integration testing. Optimize application performance through monitoring, tuning, and debugging multithreaded and high-throughput systems. Participate in architectural discussions and design planning for new features and system improvements. Write and maintain technical documentation, including design documents and implementation specifications. Stay current with emerging technologies and industry trends. Backend Required Technical Skills : Strong proficiency in Java (Java 8 or higher) Spring Framework / Spring Boot Microservices architecture and RESTful API development Multithreading and concurrent programming Experience with JPA/Hibernate, SQL, and relational databases (e.g., MySQL, PostgreSQL) Familiarity with messaging frameworks (e.g., Apache Kafka, RabbitMQ, ActiveMQ) Frontend Solid experience with Angular (Angular 8+) Experience using Angular Material Design Proficient in TypeScript, HTML5, CSS3, and responsive design Understanding of state management and component-based architecture DevOps & Deployment Working knowledge of application servers (Tomcat, JBoss, etc.) Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, etc.) Experience with containerization (Docker, Kubernetes is a plus) Version control using Git (GitHub, GitLab, Bitbucket) Testing & Quality Unit and integration testing frameworks (JUnit, Mockito, Jasmine, Karma) Understanding of automated build and test environments Soft Skills & Competencies Strong analytical and problem-solving skills Ability to work independently and as part of a team Strong written and verbal communication skills Attention to detail and commitment to producing high-quality work Proactive in identifying problems and suggesting solutions Experience working in Agile/Scrum environments Preferred Qualifications Bachelor's or Masters degree in Computer Science, Engineering, or a related field Experience in cloud-based development (AWS, Azure, or GCP) Exposure to monitoring tools (New Relic, Prometheus, etc.) Familiarity with performance profiling and system tuning (ref:hirist.tech) Show more Show less

Job Description Rapidly prototype and build next-generation web and mobile-web applications, with a focus on immersive 3D user experiences. Develop efficient, scalable, and reusable front-end systems that support high user loads. Design and implement dynamic, visually compelling consumer experiences in 3D/AR using technologies such as WebGL and BabylonJS (or Three.js). Collaborate with designers and 3D artists to build versatile and cutting-edge browser-based interfaces. Contribute to design and code reviews to ensure maintainable, high-quality code in an agile development environment. Ensure performance, responsiveness, and bug-free releases through a combination of manual and automated Skills & Experience : Strong proficiency in JavaScript, TypeScript, and React or React Native. Deep understanding of modern web rendering performance optimization techniques. Hands-on experience with 3D JavaScript libraries such as Three.js, Babylon.js, or similar. Solid understanding of computer science fundamentals, object-oriented design, and software architecture patterns. Proficient in debugging, profiling, and optimizing front-end performance. Ability to write modular, reusable, well-abstracted, and high-performance UI components. Self-starter capable of taking full ownership of technical initiatives from ideation to deployment. Eagerness to learn and adopt new technologies rapidly to enhance development and Prototyping Qualifications (Nice To Have) Experience with WebAssembly (WASM), Canvas/WebGL shaders, or Augmented Reality frameworks (AR.js, WebXR) Prior work with game engines or virtual environments Familiarity with Vite, Webpack, or other modern bundlers UI/UX sensitivity and an eye for motion/animation in digital products (ref:hirist.tech)

Key Responsibilities: Develop and implement data governance solutions using Informatica CDGC. Configure and manage metadata ingestion, lineage, and data cataloging functionalities. Collaborate with data stewards to define and enforce data governance policies and standards. Design and implement data quality rules and metrics to monitor and improve data accuracy. Integrate CDGC with other enterprise systems and data sources for seamless metadata management. Work with business users to capture and maintain business glossaries and data dictionaries. Conduct data profiling and analysis to support data governance initiatives. Provide training and support to users on leveraging CDGC for data governance and cataloging. Participate in solution design reviews, troubleshooting, and performance tuning. Stay updated with the latest trends and best practices in data governance and cataloging. Must-Have Skills: 4+ years of experience in data governance and cataloging, with at least 1 year on the Informatica CDGC platform. Proficiency in configuring and managing Informatica CDGC components. Ability to integrate CDGC with various data sources and enterprise systems. Experience in debugging issues & applying fixes in Informatica CDGC In depth understanding of Data Management landscape including technology landscape, standards, and best practices prevalent in data governance, metadata management, cataloging, data lineage, data quality, and data privacy. Familiarity with data management principles and practices in DMBOK. Experience in creating frameworks, policies and processes. Strong experimental mindset to drive innovation amidst uncertainty and solving problems. Strong experience in process improvements, hands-on operational management, and change management. Good-to-Have Skills: Certifications in Data Governance or related fields (e.g., DAMA-CDMP, DCAM, CDMC) or any Data Governance tool certification Experience in other Data Governance Tool like Collibra, Talend, Microsoft Purview, Atlan, Solidatus etc. Experience in working on RFPs, internal/external POVs, Accelerators and other frameworks Knowledge of data manipulation and data visualization tools Experiencing in designing solutions as an Architect on client use cases

Strong hands-on experience with Java (Java 8 and above), Spring Boot, and related frameworks, React, Spring MVC, Spring Data and Spring Security. Proficient in a front-end technology and framework - JavaScript, ReactJS, Redux, OOJS, ECMA Script5, HTML5, CSS, LESS, SASS, Bootstrap and Responsive web design Solid understanding of Kafka architecture and experience with event- driven systems. Experience with SQL and NoSQL databases, such as PostgreSQL, MongoDB, Cassandra. Strong understanding of microservices and micro frontend architecture, containerization, and orchestration tools like Docker and Kubernetes Strong in programming, data structure and algorithms. Proficiency in building RESTful APIs and microservices architecture. Design Patterns (GoF Design Patterns, System Design) Exp in Testing frameworks (JUnit, Mockito)

Note : Must have knoweldge of SAP Data Governance. Demonstrate deep understanding of the data governance framework and play a key SME role supporting the Data Governance manager in designing processes for consistent implementation •Good understanding of data visualization platforms such as Power BI, Tableau or Qlikview •Exposure to data analytics, machine learning, artificial intelligence •In-depth understanding of procurement, finance, customer business processes •Solid knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums •Partner with the business and program team teams to document business data glossary for assigned domain by capturing data definitions, data standards, data lineage, data quality rules and KPIs. Ensure the data glossary always remains up to date by following a stringent change governance. •Ensure smooth onboarding for data owners and data stewards by providing them necessary trainings to carry out their role effectively. Engage with them on a regular basis to provide progress updates and to seek support to eliminate impediments if any. •Extensive knowledge on Customer master and Material master Data by understanding integration with upstream and downstream legacy systems •Demonstrate deep understanding of the data governance framework and play a key SME role supporting the Data Governance manager in crafting processes for consistent implementation •Ensure adherence to policies related to data privacy, data lifecycle management and data quality management for the assigned data asset •Build a rapport with business stakeholders, technology team, program team and wider digital solution and transformation team to identify opportunities and areas to make a difference through the implementation of data governance framework. •Expert knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums •Deep knowledge of SAP ERP and associated data structures •Must have been part of large, multi-year transformational change across multiple geographies across multiple data domains •Comfortable to interact with senior stakeholders and chair meetings/trainings related to data governance

Strong hands-on experience with Java (Java 8 and above), Spring Boot, and related frameworks, Spring MVC, Spring Data and Spring Security. Proficient in a front-end technology and framework - JavaScript, ReactJS, Redux, OOJS, ECMA Script5, HTML5, CSS, LESS, SASS, Bootstrap and Responsive web design Solid understanding of Kafka architecture and experience with event-driven systems. Experience with SQL and NoSQL databases, such as PostgreSQL, MongoDB, Cassandra. Strong understanding of microservices and micro frontend architecture, containerization, and orchestration tools like Docker and Kubernetes Strong in programming, data structure and algorithms. Proficiency in building RESTful APIs and microservices architecture. Design Patterns (GoF Design Patterns, System Design) Exp in Testing frameworks (JUnit, Mockito)