Role & responsibilities : Strong Analytical skills and has the ability to start from ambiguous problem statements, identify and access relevant data and make appropriate assumptions, perform insightful analysis and draw conclusions relevant to the business problem. Ability to work effectively & independently in a fast-paced environment with tight deadlines. Ability to engage with cross-functional teams for implementation of project and program requirements. Excellent communication skills to communicate efficiently (written and spoken) in English. Demonstrated ability to communicate complex technical problems in simple plain stories. Ability to present information professionally & concisely with supporting data. Required Skills: Strong SQL, Python and Power BI knowledge with hands-on experience Proficiency in Microsoft Office and Windows-based application Preferred Experience Prior experience in a cloud-based environment like AWS, Azure cloud and GCP. Strong understanding and practical knowledge of various Machine Learning, NLP, Deep Learning and Generative AI. Required Qualifications: Bachelor's degree in computer science, Engineering, Operations Research, Math, Economics or related discipline

Role and Responsibilities: Team Leadership : Manage, mentor, and grow a team of data analysts. Set clear goals, conduct performance reviews, and foster a collaborative and high-performing culture. Strategy & Execution: Translate business problems into analytical solutions and drive strategic decision-making with data. Stakeholder Collaboration: Work closely with cross-functional teams to understand their data needs and provide insights that drive results. Project Execution: Lead and execute end-to-end analytics projects, including requirement gathering, data extraction, analysis, visualization, and reporting. Insights & Reporting: Develop dashboards, reports, and presentations that clearly communicate findings and recommend actions to both technical and non-technical audiences. Advanced Analytics: Apply statistical techniques and predictive modelling to solve complex business challenges when needed. Required Skills & Experience 6-8 years of experience in data analytics, with at least 2 years in a team leadership or client facing roles. Proven track record of driving business outcomes through data-driven insights. Strong understanding of full stack data technologies on Data Engineering, Analytics, BI and AI domain Preferred Qualifications: Bachelor's or Master's degree in Analytics, Statistics, Computer Science, Economics, Business, or related field. Proficiency in tools like SQL, Python, Excel, and data visualization platforms (Tableau, Power BI, Looker, etc.). Excellent communication skills with the ability to explain complex analyses to non-technical stakeholders.

Key Responsibilities: Assist with end-to-end recruitment processes including sourcing, screening, coordinating interviews, and onboarding new hires Maintain and update employee records and HR databases with accuracy and confidentiality Support the execution of employee engagement initiatives, celebrations, and HR events Help manage HR documentation such as offer letters, employment contracts, and HR policies Accurately manage and update employee information in HR databases and systems to ensure all records are current, organized, and compliant. Assist the HR team in carrying out routine administrative tasks and help coordinate activities that promote employee engagement and a positive work culture. Required Skills Strong communication and interpersonal skills Eagerness to learn and grow within the HR domain Attention to detail and good organizational skills Proficiency in MS Office (Excel, Word, PowerPoint) Ability to maintain confidentiality and handle sensitive information Team player with a proactive attitude Preferred Qualifications: Graduate in Human Resources, Business Administration, Psychology, or a related field

We are seeking a skilled Full Stack Developer to join our dynamic development team. The ideal candidate will have strong expertise in modern web technologies, particularly React.js for frontend development and .NET technologies for backend services, with hands-on experience in Azure cloud platform. Key Responsibilities: Frontend Development Develop responsive, user-friendly web applications using React.js and modern JavaScript (ES6+) Implement state management solutions using Redux or similar libraries Create reusable components following best practices and design patterns Ensure cross-browser compatibility and mobile responsiveness Implement modern UI frameworks such as Material-UI, Bootstrap, or Tailwind CSS Optimize frontend performance and implement code splitting/lazy loading techniques Backend Development Design and develop scalable backend services using .NET Core/.NET Framework Build and maintain RESTful APIs and Web APIs following industry standards Implement microservices architecture where appropriate Develop secure authentication and authorization mechanisms using JWT and Identity Framework Write clean, maintainable code following SOLID principles and design patterns Database Management Design and optimize SQL Server databases with efficient schema design Write complex queries, stored procedures, and optimize database performance Implement Entity Framework Core for data access layer Ensure data integrity and implement proper indexing strategies Cloud & DevOps Deploy and manage applications on Microsoft Azure platform Utilize Azure App Services, Azure Functions, and Azure SQL Database Implement CI/CD pipelines using Azure DevOps Work with containerization technologies like Docker and Azure Kubernetes Service (AKS) Monitor application performance using Azure Application Insights Architecture & Best Practices Participate in architectural decisions and code reviews Implement automated testing strategies (unit, integration, end-to-end) Follow Agile/Scrum methodologies Mentor junior developers and share knowledge with the team Maintain technical documentation and API specifications Required Qualifications Technical Skills 5+ years of professional experience in full stack development Strong proficiency in C# and .NET Core/.NET Framework Extensive experience with React.js, JavaScript (ES6+), and TypeScript Solid knowledge of HTML5, CSS3, and responsive design principles Hands-on experience with SQL Server and T-SQL Experience with Azure cloud services and Azure DevOps Knowledge of RESTful API design and development Familiarity with version control systems (Git, GitHub, Azure DevOps) Preferred Qualifications Experience with Angular or Vue.js as additional frontend frameworks Knowledge of Node.js and Express.js Experience with MongoDB or other NoSQL databases Familiarity with SignalR for real-time applications Experience with microservices architecture and containerization Knowledge of Azure Service Fabric, Azure Functions, and Azure Kubernetes Service Experience with testing frameworks (Jest, NUnit, XUnit) Understanding of OAuth, OpenID Connect, and security best practices Soft Skills Strong problem-solving and analytical thinking abilities Excellent communication and collaboration skills Ability to work independently and manage multiple priorities Experience working in Agile/Scrum environments Proven ability to mentor and guide junior team members Strong attention to detail and commitment to code quality Adaptability to learn new technologies and frameworks Experience Level Mid to Senior Level (5-15+ years of experience)

The candidate will have to leverage strong collaboration skills and the ability to extract valuable insights from highly complex data sets to ask the right questions. You'd be engaged in a fast-paced learning environment and will be solving problems for the largest organizations in the world mostly Fortune 500. The candidate will also work closely with internal business teams and clients to work on various kinds of data related problem solving like creating dashboards, automation, reporting, predictive and prescriptive analytics. Key Responsibilities: Model Development and Deployment: Design, implement and deploy scalable machine learning models using Azure ML Workbench and Azure Cognitive Services (e.g., Open AI, NLQ) Algorithm Expertise: Apply strong knowledge of machine learning algorithms (like Linear regression, logistic regression, decision trees, random forest and time series forecasting) to solve complex business challenges and enhance our existing models. Collaborative Development: Work closely with our data science and engineering teams to integrate models into cloud-based applications and services. Optimization: Continuously monitor model performance and iterate to improve accuracy and efficiency. Stay Updated: Keep abreast of the latest developments in the ML field, especially concerning Azure and associated technologies, ensuring our solutions remain industry leading. Required Skills & Experience: 4-8 years of extensive hands-on experience with developing ML Models and leveraging auto ML tools like Data Robot, Azure Cognitive Services and others Capabilities to implement GenAI/Open source LLM models and run various Natural Language Processing based algorithms Proficient in SQL and Python with experience using libraries such as Pytorch, pandas, NumPy and scikit-learn. Strong understanding and practical knowledge of various machine learning and deep learning algorithms Proven track record of deploying scalable machine learning models in real-world applications. Strong problem-solving skills and the ability to translate business requirements into analytical solutions. Solid understanding of statistical modelling techniques (e.g., regression, clustering, time series analysis), hypothesis testing, and experimental design. Experience with data visualization tools (e.g., Tableau, matplotlib, ggplot) to effectively present and communicate complex data insights. Familiarity with big data technologies (e.g., Hadoop, SnowFlake, Spark) and database languages (e.g., SQL) for handling and processing large-scale datasets. Deep knowledge and understanding of CPG industry, Supply chain and Inventory forecasting Preferred Qualifications: Bachelors degree in computer science, Engineering, Operations Research, Math, Economics, or related discipline Strong SQL, Python and Power Bi knowledge with hands-on experience Ability to work effectively & independently in a fast-paced environment with tight deadlines. Ability to engage with cross-functional teams for implementation of project and program requirements.

Role & Responsibilities: The candidate will have to leverage strong collaboration skills and the ability to independently develop and design highly complex data sets and ETL processes to develop a data warehouse and to ask the right questions. You'd be engaged in a fast-paced learning environment and will be solving problems for the largest organizations in the world mostly Fortune 500. The candidate will also work closely with internal business teams and clients to work on various kinds of Data Engineering related problems like the development of a data warehouse, Advanced Stored Procedures, ETL pipelines, Reporting, Data Governance, and BI development. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Operations Research, Math, Economics or related discipline Strong SQL, Python, PySpark ETL development, Azure Data Factory and PowerBI knowledge and Hands-on experience Proficient in understanding the Business Requirement and converting it into process flows and codes(Special preference for SQL based stored procedures) Develop and design data architecture and frameworks for optimal performance and response time Strong Analytical skills and the ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis, and draw conclusions relevant to the business problem Excellent communication skills to communicate efficiently (written and spoken) in English. Demonstrated ability to communicate complex technical problems in simple plain stories. Ability to present information professionally & concisely with supporting data. Ability to work effectively & independently in a fast-paced environment with tight deadlines. Ability to engage with cross-functional teams for implementation of project and program requirements. 5+ years of hands-on experience as a Data Engineer or tech lead roles. 5+ years of experience in data engineering on the Azure cloud, highly proficient in the Azure ecosystem and its services."