We are looking for an AI Engineer with 2+ years of experience in building production-grade Python systems and working with modern AI technologies. The role involves developing Agentic AI systems, LLM-driven workflows, and enterprise copilots integrated with real business systems. You will work on APIs, databases, and scalable AI platforms while optimizing performance, cost, and accuracy. Strong fundamentals in Python, system design, and experience with tools like LangChain or OpenAI/Azure SDKs are essential.

We are looking for passionate and data-driven professionals who think in data, not just work with it. In this role, you will write complex SQL queries, build and maintain ETL pipelines, and translate business requirements into reports, dashboards, and analytical models. The ideal candidate has 3+ years of hands-on experience in SQL, ETL, or Data Analytics, with exposure to BI tools like Power BI, Qlik, or Tableau, and a solid understanding of cloud platforms such as Azure, AWS, or GCP. Education: B.Tech / BE, BCA, MBA, or Equivalent.

We are looking for a skilled Qlik Sense Developer with 2–5 years of hands-on experience in building data visualization and analytics solutions. The ideal candidate should have strong expertise in Qlik Sense development, along with proficiency in SQL and a good understanding of UI/UX design principles to create intuitive and impactful dashboards. Exposure to Azure Cloud is an added advantage. The role requires exceptional analytical thinking, problem-solving abilities, and strong communication skills. Candidates should hold a degree in Computer Science or MCA, and Qlik Sense certification is preferred. Flexibility to relocate within India or internationally is also expected.

We are seeking a Data Engineer with 2–4 years of experience in ETL processes, data warehousing, and Azure data services. The role includes building scalable data pipelines, designing BI solutions, and working with tools like ADF, ADLS Gen2, Synapse, and Databricks. Strong proficiency in SQL, Python, and PySpark is required along with experience in Medallion architecture and cloud-based data platforms. Knowledge of CI/CD and Azure DevOps is a plus.