What skills are we looking for Good presentation, verbal and written communication skills. Comfortable working in a fast-paced, dynamic, and evolving environment with the ability to develop product expertise, prioritize and work on multiple customer projects concurrently Good hands-on knowledge of JavaScript , CSS , and HTML Technical chops: Javascript, CSS, HTML, REST API, a knack for understanding systems, architecture, and security aspects. Awareness of diverse cultures and practices across geographies Worked in any of the following industries-IT / ITES / Healthcare / BFSI / Manufacturing/FMCG/ Oil and Gas among others. K n o w l e d g e o f a pp li c a t i o n s li k e E R P , C R M, C L M, e t c . s u c h a s S a l e s f o r c e , MS D y n a m i c s , SAP, Oracle, Icertis, etc. would be an added advantage Ability to understand Enterprise Applications like Salesforce, MS Dynamics, SAP, Oracle would be an added advantage. Ability to travel to Client locations as required Qualification Criteria and Skills A bachelors/Professional degree. A background in Solutions/Customer Success/Professional Services is preferred 3-10 years of relevant experience. The designation will be realigned according to the experience. Solutions Engineer is a strategic role where you will be a trusted consultant to our customers and drive the onboarding, implementation, and adoption of diverse use cases of Our product implementation. It entails client engagement, coding, and interaction with different teams to help customers achieve their desired outcomes. Solutioning Onboarding Customers and their applications on to the our Platform. Configure all features of the Our application, groups and security settings in Our and other EAS systems. Leverage your knowledge and expertise across various Applications and Systems to define Blueprint for Our Implementation in newer areas/applications. Monitor system performance, data integrity, and user activity to make recommendations on continuous improvements for the Our platform. Customize Our product based on Customer requirements and Business Objectives. Integrate Our Platform and Analytics systems with Customer s Enterprise Application Systems Drive existing and new product feature adoption across Customers. Serve as the single point of contact for technical issues, coordinate with Customer Success, PM, Engineering, and Product teams, and enable internal teams to meet their SLAs. Ensure the solution is delivered in time with top priority to the quality of delivery

As a Full Stack Developer, we would look for your experience in as many of the following technologies, concepts and frameworks o User Interface Development o Knowledge of front-end technologies such as HTML5 and CSS3. o Experience in building responsive web interfaces o Java Script Frameworks o Extensive knowledge of JavaScript, web stacks, libraries, and frameworks. o Experience and knowledge in building world class apps with frameworks such as Angular, React.JS, Vue.JS, Node.JS (Express, Hapi, Sails, Loopback) o Previously built APIs following best practices and standards. o Databases - o Expertise in NoSQL databases and structures such as MongoDb o Expertise in SQL databases - modeling tables, queries - MYSQL database o Principles, Concepts and Implementation Knowledge o Functional Programming concepts o Clean Code - Dry principle, KISS Principle, Static Code Analysis, Atomic Design o Understanding of database schema, mapping data structures models and classes - ORM Implementation o Microservices architecture o Tools and Processes o Understanding and experience in using Git in a distributed team environment - branching, merging, tagging etc. o Experience with Agile practices using tools such as Jira and familiar with the terminologies such as Story Points, Burn Down, Scrum, Kanban etc. o Familiar with containerization tools like Docker, Vagrant o Familiar with other tools such as Webpack, NPM, Babel, Yarn. o Familiar with test frameworks - Unit Testing (Jest, Jasmine, Karma. Mocha), Behavioral Testing (Cucumber) etc. Project Responsibilities Be a first-class citizen in a high-performance software development team. Be involved in the complete software development cycle. Understand requirements and come up with technical solutions Develop software / Code as per specifications and requirements provided Write well-designed, testable code in allocated/planned timelines Take quality ownership for all that you have delivered. Responsibilities towards Self, Team and Company Acquiring the knowledge and proficiently implement in own tasks attaining results. Learn implementing new tools frameworks for increasing efficiency and quality . Align with the company s strategy and road map. Demonstrate respect and empathy among peers and other colleagues. Built trust and demonstrate reliability amongst peers . Able to demonstrate the high achievement mindset and strive towards growth and support transformation.

Work with global customers to identify their target audiences training needs, acquire an understanding of customer applications and processes to derive actionable insights and use cases to improve digital adoption. Should have knowledge or hands on experience working on HTML,CSS. Manage numerous projects, initiatives, and engagements concurrently. Help develop standards and guidelines to ensure consistency in deliverables across projects and be compliant throughout. Collaborate with cross-functional teams to deliver innovative solutions and bring process efficiency to customers. Consult, ideate, and propose optimal digital adoption solutions to customers using the Product Ecosystem. Review, analyze, and optimize solutions to increase digital adoption usage by end-users. Onboard, mentor and enable new team members for success. Ability to build relationships with multinational stakeholders, and understand the purpose of various customer business and enterprise applications, processes, and user personas. Have a strong learning appetite to become an expert on products through our Certification Programs. 2-6 years of experience in any of the following domains - Content Creation/Instructional Design/Technical Writing/Customer Success/Account Management/Marketing/Software Development. Comfortable working in a dynamic and evolving environment. Inclination to problem-solving and an analytical mindset

Qualifications: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Technical Expertise: Proven experience in Python development, with a strong grasp of frameworks and libraries such as Pydantic and FastAPI. Hands-on experience with cloud platforms (AWS, Azure) and modern DevOps practices. Demonstrable experience working with GenAI technologies: LLM Models: Working knowledge of models like GPT-3/GPT-4, Anthropic s Claude, and Metas LLaMA. Vector Databases: Experience with solutions like Pinecone, Weaviate, Milvus, or Faiss. Agentic Frameworks: Familiarity with Autogen and its alternatives (e.g., LangChain, ReAct-based frameworks). Expertise in designing clean, modular, and maintainable code, with a deep understanding of design patterns and best practices. Leadership Mentoring: Prior experience as a technical lead or senior developer with a focus on guiding teams through complex technical challenges. Strong communication skills, with the ability to clearly articulate technical concepts and foster a collaborative environment. Desirable Skills: Familiarity with containerization (Docker, Kubernetes), CI/CD pipelines (Jenkins, GitLab CI), and microservices architecture. Experience with machine learning/deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus. What We Offer: Innovative Work Environment: A dynamic, hands-on role that emphasizes technical excellence and innovative problem-solving. Professional Growth: Opportunities to stay on the cutting edge of GenAI technology with ongoing professional development and research initiatives. Collaborative Culture: A supportive, team-oriented atmosphere where your technical expertise directly impacts the success of high-profile projects. This role is tailored for a seasoned, hands-on technical leader passionate about GenAI, with the ability to drive code excellence and mentor a diverse development team. If you thrive on solving complex technical challenges and setting high standards for software quality, we d love to hear from you. Overview: We are a custom software services company specializing in cutting-edge GenAI solutions. Our projects leverage advanced technologies including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Vector Databases, and Agentic AI frameworks. We are seeking a hands-on Lead Developer to own the design, structure, and quality of our codebase, while organizing development tasks and deliverables for a team of skilled developers. Key Responsibilities: Technical Ownership Hands-On Development: Own the architectural design and structure of GenAI applications, ensuring robust, scalable, and maintainable code. Champion best practices for code quality, maintainability, and the use of design patterns. Be actively involved in coding, code reviews, and mentoring other developers to uphold technical excellence. Technical Leadership Task Organization: Organize and prioritize development tasks and deliverables, ensuring that technical challenges and blockers are swiftly addressed. Lead technical discussions and brainstorming sessions to design solutions that meet both current and future business needs. Coordinate with team members to ensure clear responsibilities and streamlined development processes without heavy project management oversight. Solution Architecture Implementation: Design and implement high-quality solutions using Python, modern frameworks (e.g., Pydantic, FastAPI), and industry-standard development practices. Integrate on cloud platforms such as AWS and Azure, ensuring the seamless deployment of GenAI applications with scalable and secure architectures. Evaluate and incorporate advanced AI technologies: LLM Models: Examples include OpenAIs GPT-3/GPT-4, Anthropics Claude, Metas LLaMA, and others. Vector Index Technologies: Examples include Azure AI Search, Pinecone, Weaviate, Milvus, and Faiss. Agentic AI Frameworks: Utilize frameworks like Autogen, as well as alternatives such as LangChain or ReAct-based solutions. Continuous Improvement Innovation: Stay current with emerging GenAI trends, tools, and frameworks, and proactively integrate these into our solutions. Continuously refine the development process by advocating for improvements in code reviews, automated testing, and continuous integration/deployment practices. Cross-Functional Collaboration: Work closely with other technical teams to align on architecture decisions and share best practices. Communicate technical concepts effectively to both technical peers and non-technical stakeholders when necessary.

What skills are we looking for? Good presentation, verbal and written communication skills. Comfortable working in a fast-paced, dynamic, and evolving environment with the ability to develop product expertise, prioritize and work on multiple customer projects concurrently Good hands-on knowledge of JavaScript, CSS, and HTML Technical chops: Javascript, CSS, HTML, REST API, a knack for understanding systems, architecture, and security aspects. Awareness of diverse cultures and practices across geographies Worked in any of the following industries-IT/ITES/Healthcare/BFSI/ Manufacturing/FMCG/ Oil and Gas among others. Knowledge of applications like ERP, CRM, CLM, etc. such as Salesforce, MS Dynamics, SAP, Oracle, Icertis, etc. would be an added advantage Ability to understand Enterprise Applications like Salesforce, MS Dynamics, SAP, Oracle would be an added advantage. Ability to travel to Client locations as required Qualification Criteria and Skills A bachelor's/Professional degree. A background in Solutions/Customer Success/Professional Services is preferred 3-10 years of relevant experience. The designation will be realigned according to the experience. Roles and Responsibilities Solutions Engineer is a strategic role where you will be a trusted consultant to our customers and drive the onboarding, implementation, and adoption of diverse use cases of Our product implementation. It entails client engagement, coding, and interaction with different teams to help customers achieve their desired outcomes. Solutioning Onboarding Customers and their applications on to the our Platform. Configure all features of the Our application, groups and security settings in Our and other EAS systems. Leverage your knowledge and expertise across various Applications and Systems to define Blueprint for Our Implementation in newer areas/applications. Monitor system performance, data integrity, and user activity to make recommendations on continuous improvements for the Our platform. Customize Our product based on Customer requirements and Business Objectives. Integrate Our Platform and Analytics systems with Customer’s Enterprise Application Systems Drive existing and new product feature adoption across Customers. Serve as the single point of contact for technical issues, coordinate with Customer Success, PM, Engineering, and Product teams, and enable internal teams to meet their SLAs. Ensure the solution is delivered in time with top priority to the quality of delivery

Work with global customers to identify their target audiences' training needs, acquire an understanding of customer applications and processes to derive actionable insights and use cases to improve digital adoption. Should have knowledge or hands on experience working on HTML,CSS. Manage numerous projects, initiatives, and engagements concurrently. Help develop standards and guidelines to ensure consistency in deliverables across projects and be compliant throughout. Collaborate with cross-functional teams to deliver innovative solutions and bring process efficiency to customers. Consult, ideate, and propose optimal digital adoption solutions to customers using the Product Ecosystem. Review, analyze, and optimize solutions to increase digital adoption usage by end-users. Onboard, mentor and enable new team members for success. Roles and Responsibilities Ability to build relationships with multinational stakeholders, and understand the purpose of various customer business and enterprise applications, processes, and user personas. Have a strong learning appetite to become an expert on products through our Certification Programs. 2-6 years of experience in any of the following domains - Content Creation/Instructional Design/Technical Writing/Customer Success/Account Management/Marketing/Software Development. Comfortable working in a dynamic and evolving environment. Inclination to problem-solving and an analytical mindset

As a Full Stack Developer, we would look for your experience in as many of the following technologies, concepts and frameworks o User Interface Development o Knowledge of front-end technologies such as HTML5 and CSS3. o Experience in building responsive web interfaces o Java Script Frameworks o Extensive knowledge of JavaScript, web stacks, libraries, and frameworks. o Experience and knowledge in building world class apps with frameworks such as Angular, React.JS, Vue.JS, Node.JS (Express, Hapi, Sails, Loopback) o Previously built APIs following best practices and standards. o Databases – o Expertise in NoSQL databases and structures such as MongoDb o Expertise in SQL databases – modeling tables, queries – MYSQL database o Principles, Concepts and Implementation Knowledge o Functional Programming concepts o Clean Code – Dry principle, KISS Principle, Static Code Analysis, Atomic Design o Understanding of database schema, mapping data structures models and classes – ORM Implementation o Microservices architecture o Tools and Processes o Understanding and experience in using Git in a distributed team environment – branching, merging, tagging etc. o Experience with Agile practices using tools such as Jira and familiar with the terminologies such as Story Points, Burn Down, Scrum, Kanban etc. o Familiar with containerization tools like Docker, Vagrant o Familiar with other tools such as Webpack, NPM, Babel, Yarn. o Familiar with test frameworks – Unit Testing (Jest, Jasmine, Karma. Mocha), Behavioral Testing (Cucumber) etc. Roles and Responsibilities Project Responsibilities Be a first-class citizen in a high-performance software development team. Be involved in the complete software development cycle. Understand requirements and come up with technical solutions Develop software / Code as per specifications and requirements provided Write well-designed, testable code in allocated/planned timelines Take quality ownership for all that you have delivered. Responsibilities towards Self, Team and Company Acquiring the knowledge and proficiently implement in own tasks & attaining results. Learn & implementing new tools & frameworks for increasing efficiency and quality . Align with the company’s strategy and road map. Demonstrate respect and empathy among peers and other colleagues. Built trust and demonstrate reliability amongst peers . Able to demonstrate the high achievement mindset and strive towards growth and support transformation.

Qualifications: Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Technical Expertise: Proven experience in Python development, with a strong grasp of frameworks and libraries such as Pydantic and FastAPI. Hands-on experience with cloud platforms (AWS, Azure) and modern DevOps practices. Demonstrable experience working with GenAI technologies: LLM Models: Working knowledge of models like GPT-3/GPT-4, Anthropic’s Claude, and Meta's LLaMA. Vector Databases: Experience with solutions like Pinecone, Weaviate, Milvus, or Faiss. Agentic Frameworks: Familiarity with Autogen and its alternatives (e.g., LangChain, ReAct-based frameworks). Expertise in designing clean, modular, and maintainable code, with a deep understanding of design patterns and best practices. Leadership & Mentoring: Prior experience as a technical lead or senior developer with a focus on guiding teams through complex technical challenges. Strong communication skills, with the ability to clearly articulate technical concepts and foster a collaborative environment. Desirable Skills: Familiarity with containerization (Docker, Kubernetes), CI/CD pipelines (Jenkins, GitLab CI), and microservices architecture. Experience with machine learning/deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus. What We Offer: Innovative Work Environment: A dynamic, hands-on role that emphasizes technical excellence and innovative problem-solving. Professional Growth: Opportunities to stay on the cutting edge of GenAI technology with ongoing professional development and research initiatives. Collaborative Culture: A supportive, team-oriented atmosphere where your technical expertise directly impacts the success of high-profile projects. This role is tailored for a seasoned, hands-on technical leader passionate about GenAI, with the ability to drive code excellence and mentor a diverse development team. If you thrive on solving complex technical challenges and setting high standards for software quality, we’d love to hear from you. Roles and Responsibilities Overview: We are a custom software services company specializing in cutting-edge GenAI solutions. Our projects leverage advanced technologies including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Vector Databases, and Agentic AI frameworks. We are seeking a hands-on Lead Developer to own the design, structure, and quality of our codebase, while organizing development tasks and deliverables for a team of skilled developers. Key Responsibilities: Technical Ownership & Hands-On Development: Own the architectural design and structure of GenAI applications, ensuring robust, scalable, and maintainable code. Champion best practices for code quality, maintainability, and the use of design patterns. Be actively involved in coding, code reviews, and mentoring other developers to uphold technical excellence. Technical Leadership & Task Organization: Organize and prioritize development tasks and deliverables, ensuring that technical challenges and blockers are swiftly addressed. Lead technical discussions and brainstorming sessions to design solutions that meet both current and future business needs. Coordinate with team members to ensure clear responsibilities and streamlined development processes without heavy project management oversight. Solution Architecture & Implementation: Design and implement high-quality solutions using Python, modern frameworks (e.g., Pydantic, FastAPI), and industry-standard development practices. Integrate on cloud platforms such as AWS and Azure, ensuring the seamless deployment of GenAI applications with scalable and secure architectures. Evaluate and incorporate advanced AI technologies: LLM Models: Examples include OpenAI's GPT-3/GPT-4, Anthropic's Claude, Meta's LLaMA, and others. Vector Index Technologies: Examples include Azure AI Search, Pinecone, Weaviate, Milvus, and Faiss. Agentic AI Frameworks: Utilize frameworks like Autogen, as well as alternatives such as LangChain or ReAct-based solutions. Continuous Improvement & Innovation: Stay current with emerging GenAI trends, tools, and frameworks, and proactively integrate these into our solutions. Continuously refine the development process by advocating for improvements in code reviews, automated testing, and continuous integration/deployment practices. Cross-Functional Collaboration: Work closely with other technical teams to align on architecture decisions and share best practices. Communicate technical concepts effectively to both technical peers and non-technical stakeholders when necessary.

2+ years of Experience Excellent verbal and written communication skills. MBA in Human Resources Management or relevant degree. Strong communication and interpersonal skills Ability to negotiate and close deals with candidates. Time-management skills and multitasking ability Ability to build and maintain relationships with hiring managers. Understanding the hiring requirements of hiring managers. Attracting candidates through various channels like social media and professional networks. Reviewing resumes and screening candidates. Scheduling interviews by coordinating with candidates and hiring managers. Negotiating job offers and compensation packages with candidates. Staying updated about hiring trends and best practices.

About the Role: We are seeking a Generalist Software Engineer with experiences in full stack (MongoDB, React/Angular, Node.js) and strong experience in Data, AI, Cloud, and DevOps. As a critical resource across multiple engagements, you will work on diverse projects involving full-stack development, AI-driven applications, scalable cloud solutions, and DevOps automation. You should be highly adaptable, eager to learn, and capable of delivering high-quality, efficient, and scalable solutions across multiple domains. Qualifications: 2+ years of experience as a full-stack software developer. Proficiency in JavaScript, TypeScript, Python, Java, .NET or other relevant languages. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, OpenAI APIs, etc.). Experience with databases (MongoDB, PostgreSQL, MySQL, NoSQL, or distributed databases). Strong knowledge of cloud platforms (AWS, Azure, GCP) and cloud services (Lambda, S3, EC2, DynamoDB, Firebase, etc.). Experience with DevOps tools (Docker, Kubernetes, Terraform, Ansible, CI/CD pipelines). Strong understanding of microservices architecture and event-driven systems. Ability to adapt to multiple projects and technology stacks. Nice to Have: Exposure to Generative AI, LLMs, or NLP-based applications. Experience with serverless architectures. Knowledge of vector databases (Pinecone, FAISS, Weaviate) for AI-powered search. Experience with MLOps and model deployment strategies. Background in data visualization (Tableau, Power BI, Jasper, D3.js). Why Join Us Work on cutting-edge projects across web mobile, AI, Cloud, and DevOps domains . Be a key contributor in multiple high-impact engagements . Exposure to a variety of tech stacks, cloud platforms, and AI-driven applications Competitive salary, benefits, and career growth opportunities .If youre a versatile developer passionate about full stack development, Data, AI, Cloud, and DevOps, we d love to hear from you! Why being a generalist ensures YOU will always be in demand! In today s fast-evolving tech landscape, specialists may shine in niche areas, but generalist developers who can cut across multiple tech stacks are invaluable . Here s why being a versatile, multi-stack developer ensures long-term job security and career growth:1. Adaptability to Market Trends Tech stacks rise and fall in popularity what s in demand today might be outdated tomorrow. As a generalist, you re not locked into a single ecosystem; you can pivot to whatever technology is in demand, keeping your skills relevant.2. Cross-Project Value Businesses often have multiple projects running simultaneously, using different technologies. A generalist can seamlessly switch between stacks , making them a critical asset across multiple engagements.3. Bridging the Gaps Between Teams Specialists often work in silos (frontend, backend, DevOps, AI, etc.), but generalists bridge the gap , facilitating better collaboration and reducing bottlenecks in development workflows.4. More Job Opportunities With skills in MERN, Python, AI, DevOps, and Cloud , you re not restricted to a single job role. Whether it s full-stack development, AI/ML integration, or cloud infrastructure , you can apply for diverse roles , ensuring you re never short on opportunities.5. Future-Proofing Your Career Companies value problem solvers over coders. By working across multiple stacks, you develop a broad problem-solving mindset , making you indispensable in any technical challenge .6. Ideal for Startups High-Growth Companies Startups and lean teams love generalists because they do more with fewer resources . If you can build an app, deploy it to the cloud, optimize performance, and integrate AI all in one role you become a one-person powerhouse .7. Competitive Edge in a Shifting Economy Tech layoffs often hit specialists harder when a particular tech stack becomes obsolete. A generalist, however, can quickly transition to a new role or domain, making them resilient even in uncertain times .Being a generalist developer means you re not just a coder you re a versatile tech problem solver . Whether it s full-stack development, AI, data engineering, or cloud automation , your ability to learn, adapt, and contribute across multiple domains will keep you in demand always. Key Responsibilities: Full-Stack Development (MERN Beyond) Design, develop, and maintain scalable full-stack applications on web and mobile. Optimize front-end performance and ensure smooth UI/UX experiences. Build and integrate RESTful GraphQL APIs . Data AI Development Work with data pipelines, ETL processes, and real-time data processing. Integrate AI/ML models (TensorFlow, PyTorch, OpenAI APIs, or similar) into applications. Develop AI-powered features such as recommendation engines, chatbots, and agentic solutions. Cloud DevOps Deploy, manage, and optimize applications on AWS, Azure, or GCP. Implement Infrastructure as Code (Terraform, CloudFormation, Pulumi) for cloud automation. Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or similar . Manage containerized applications using Docker Kubernetes . Ensure scalability, security, and performance of cloud-based applications. Cross-Project Collaboration Problem Solving Act as a critical resource across multiple projects , adapting quickly to different technical needs. Debug, troubleshoot, and optimize both front-end and back-end systems. Stay updated on emerging web, mobile, AI, and cloud technologies, bringing innovative ideas to the team.

We are seeking a Senior Data Engineer with a minimum of 5 years of experience in data architecture, data engineering, or related fields. The ideal candidate will have a proven track record of leading data projects, mentoring junior team members, and innovating to solve complex business problems. This role requires hands-on expertise in cloud platforms (Azure or GCP), programming, and designing data pipelines, as well as experience with data governance and CI/CD processes. Required Skills and Qualifications: Minimum of 5 years of experience in data architecture, data engineering, or related fields. Strong proficiency in Python and/or Java programming languages. Hands-on experience with GCP or Azure cloud platforms. Knowledge of data governance tools such as Azure Purview and Collibra. Expertise in designing and implementing batch, streaming, and event-driven data pipelines. In-depth knowledge of data lake and data warehouse architectures, particularly Delta Lake and BigQuery. Experience working in Agile or Scrum environments, with a focus on iterative delivery and adapting to evolving requirements. Excellent problem-solving, analytical, and critical thinking skills. Strong attention to detail with an emphasis on data accuracy and process integrity. Soft Skills: Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Collaborative mindset and ability to work effectively within cross-functional teams. Ability to mentor and guide junior team members. Key Responsibilities: Lead the design, development, and optimization of data pipelines using batch, streaming, and event-driven architectures (e.g., Azure Event Hubs, GCP Pub/Sub, Apache Kafka). Architect and implement data lake and data warehouse solutions, including Delta Lake and BigQuery. Implement and manage tools for data cataloging, metadata management, and access control (e.g., Azure Purview, Collibra). Develop, deploy, and manage CI/CD pipelines using tools like Azure DevOps or Jenkins. Strategize and deliver data-driven solutions to solve complex business challenges. Mentor junior team members and provide leadership on data engineering best practices. Collaborate with cross-functional teams and communicate effectively with stakeholders. Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and related industry standards.

Scope Management Stakeholder Management Agile Coaching/ Guidance to managed teams. Experience working in Agile or Scrum environments. Ability to deliver in iterative cycles and adapt to changing requirements. Understanding of Program Management basics (Cost/ Scope and Quality/ Time) Experience managing Fixed and Retainer engagements Exposure to overseas clients (or overseas working) Excellent Communication (weak language is okay but ability to listen/ understand/ and explain ideas need to be above par) Growth Mindset People Person Resource Management Collaboration : Ability to work in cross-functional teams. Problem-solving : analytical and critical thinking to resolve problems and challenges. Attention to Details : ensuring accuracy in data and processes Someone who has managed large scale data projects Project Responsibilities Enable team to follow agile in spirit and not just go through the motions of meetings and deliverables. Be a first-class citizen in a high-performance software development team. Be involved in the complete software development cycle. Understand requirements and facilitate the team to deliver the technical solutions Enable the team and ensure software / Code delivered is as per specifications and requirements provided. Take quality ownership for all that you have delivered. Responsibilities towards Self, Team and Company Acquiring the knowledge and proficiently implement in own tasks & attaining results. Learn & implementing new tools & frameworks for increasing efficiency and quality Align with the company s strategy and road map Demonstrate respect and empathy among peers and other colleagues Built trust and demonstrate reliability amongst peers Able to demonstrate the high achievement mindset and strive towards growth and support transformation

As a Data Platform Architect , you will play a pivotal role in the design, implementation, and optimization of scalable data architecture and systems. You will be responsible for creating data-driven solutions that enable effective data storage, integration, processing, and analytics. You will collaborate closely with data engineers, data scientists, and business stakeholders to build a robust data infrastructure that supports the organization s data strategy. Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Data Engineering, or a related field. Proven experience (typically 7+ years) in designing and implementing complex data architectures and platforms. Expertise in cloud platforms (AWS, Azure, GCP) and their data services (e.g., Amazon Redshift, Azure Synapse, BigQuery). Strong knowledge of data integration, ETL/ELT tools, and data pipelines. Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka). Proficiency in database technologies (SQL, NoSQL, columnar, graph, etc.). Familiarity with data modeling techniques and practices. Strong understanding of data security, governance, and privacy practices. Experience with data visualization and reporting tools (e.g., Power BI, Tableau). Excellent problem-solving, analytical, and troubleshooting skills. Strong communication and collaboration skills with technical and non-technical teams. Preferred Skills: Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer Associate). Experience with containerized environments (e.g., Docker, Kubernetes). Familiarity with DevOps practices and CI/CD pipelines. Knowledge of machine learning and artificial intelligence applications in data platforms. Experience with Agile methodologies and project management tools. Key Responsibilities: Architect Data Solutions: Design and implement high-performance, scalable data platforms that support large-scale data ingestion, transformation, and analytics. Data Modeling: Develop and maintain data models and databases, ensuring they align with business requirements and are optimized for performance and usability. Cloud Infrastructure: Lead the adoption and implementation of cloud-based data platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and analysis. Integration: Oversee the integration of disparate data sources and ensure seamless data flow across different systems (ETL/ELT processes). Performance Optimization: Continuously monitor, assess, and optimize the data platform architecture to ensure high performance, reliability, and scalability. Data Security & Governance: Implement best practices for data governance, privacy, and security to ensure compliance with internal policies and regulations. Collaboration: Work with cross-functional teams to understand data requirements, provide technical guidance, and deliver data solutions that meet business needs. Innovation & Research: Stay current with emerging data technologies and trends to drive innovation and improvements to the data platform. Documentation & Reporting: Maintain comprehensive documentation of data architecture, processes, and best practices for stakeholders and team members.

Senior Data Engineer Job Description: We are seeking a Senior Data Engineer with a minimum of 5 years of experience in data architecture, data engineering, or related fields. The ideal candidate will have a proven track record of leading data projects, mentoring junior team members, and innovating to solve complex business problems. This role requires hands-on expertise in cloud platforms (Azure or GCP), programming, and designing data pipelines, as well as experience with data governance and CI/CD processes. Required Skills and Qualifications: Minimum of 5 years of experience in data architecture, data engineering, or related fields. Strong proficiency in Python and/or Java programming languages. Hands-on experience with GCP or Azure cloud platforms. Knowledge of data governance tools such as Azure Purview and Collibra. Expertise in designing and implementing batch, streaming, and event-driven data pipelines. In-depth knowledge of data lake and data warehouse architectures, particularly Delta Lake and BigQuery. Experience working in Agile or Scrum environments, with a focus on iterative delivery and adapting to evolving requirements. Excellent problem-solving, analytical, and critical thinking skills. Strong attention to detail with an emphasis on data accuracy and process integrity. Soft Skills: Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Collaborative mindset and ability to work effectively within cross-functional teams. Ability to mentor and guide junior team members. If you are passionate about data engineering and ready to make a significant impact, we encourage you to apply for this exciting opportunity! Roles and Responsibilities Key Responsibilities: Lead the design, development, and optimization of data pipelines using batch, streaming, and event-driven architectures (e.g., Azure Event Hubs, GCP Pub/Sub, Apache Kafka). Architect and implement data lake and data warehouse solutions, including Delta Lake and BigQuery. Implement and manage tools for data cataloging, metadata management, and access control (e.g., Azure Purview, Collibra). Develop, deploy, and manage CI/CD pipelines using tools like Azure DevOps or Jenkins. Strategize and deliver data-driven solutions to solve complex business challenges. Mentor junior team members and provide leadership on data engineering best practices. Collaborate with cross-functional teams and communicate effectively with stakeholders. Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and related industry standards.

What skills are we looking for? Scope Management Stakeholder Management Agile Coaching/ Guidance to managed teams. Experience working in Agile or Scrum environments. Ability to deliver in iterative cycles and adapt to changing requirements. Understanding of Program Management basics (Cost/ Scope and Quality/ Time) Experience managing Fixed and Retainer engagements Exposure to overseas clients (or overseas working) Excellent Communication (weak language is okay but ability to listen/ understand/ and explain ideas need to be above par) Growth Mindset People Person Resource Management Collaboration: Ability to work in cross-functional teams. Problem-solving: analytical and critical thinking to resolve problems and challenges. Attention to Details: ensuring accuracy in data and processes Someone who has managed large scale data projects Roles and Responsibilities Project Responsibilities Enable team to follow agile in spirit and not just go through the motions of meetings and deliverables. Be a first-class citizen in a high-performance software development team. Be involved in the complete software development cycle. Understand requirements and facilitate the team to deliver the technical solutions Enable the team and ensure software / Code delivered is as per specifications and requirements provided. Take quality ownership for all that you have delivered. Responsibilities towards Self, Team and Company Acquiring the knowledge and proficiently implement in own tasks & attaining results. Learn & implementing new tools & frameworks for increasing efficiency and quality Align with the company’s strategy and road map Demonstrate respect and empathy among peers and other colleagues Built trust and demonstrate reliability amongst peers Able to demonstrate the high achievement mindset and strive towards growth and support transformation

As a Data Platform Architect, you will play a pivotal role in the design, implementation, and optimization of scalable data architecture and systems. You will be responsible for creating data-driven solutions that enable effective data storage, integration, processing, and analytics. You will collaborate closely with data engineers, data scientists, and business stakeholders to build a robust data infrastructure that supports the organization’s data strategy. Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field. Proven experience (typically 7+ years) in designing and implementing complex data architectures and platforms. Expertise in cloud platforms (AWS, Azure, GCP) and their data services (e.g., Amazon Redshift, Azure Synapse, BigQuery). Strong knowledge of data integration, ETL/ELT tools, and data pipelines. Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka). Proficiency in database technologies (SQL, NoSQL, columnar, graph, etc.). Familiarity with data modeling techniques and practices. Strong understanding of data security, governance, and privacy practices. Experience with data visualization and reporting tools (e.g., Power BI, Tableau). Excellent problem-solving, analytical, and troubleshooting skills. Strong communication and collaboration skills with technical and non-technical teams. Preferred Skills: Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer Associate). Experience with containerized environments (e.g., Docker, Kubernetes). Familiarity with DevOps practices and CI/CD pipelines. Knowledge of machine learning and artificial intelligence applications in data platforms. Experience with Agile methodologies and project management tools. Roles and Responsibilities Key Responsibilities: Architect Data Solutions: Design and implement high-performance, scalable data platforms that support large-scale data ingestion, transformation, and analytics. Data Modeling: Develop and maintain data models and databases, ensuring they align with business requirements and are optimized for performance and usability. Cloud Infrastructure: Lead the adoption and implementation of cloud-based data platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and analysis. Integration: Oversee the integration of disparate data sources and ensure seamless data flow across different systems (ETL/ELT processes). Performance Optimization: Continuously monitor, assess, and optimize the data platform architecture to ensure high performance, reliability, and scalability. Data Security & Governance: Implement best practices for data governance, privacy, and security to ensure compliance with internal policies and regulations. Collaboration: Work with cross-functional teams to understand data requirements, provide technical guidance, and deliver data solutions that meet business needs. Innovation & Research: Stay current with emerging data technologies and trends to drive innovation and improvements to the data platform. Documentation & Reporting: Maintain comprehensive documentation of data architecture, processes, and best practices for stakeholders and team members.