Top Tech Jobs & Startup Jobs

Design, build, deploy, and refine AI solutions across the full lifecycle. Develop knowledge graphs, ontologies, governance and lineage frameworks, RAG pipelines, prompt and context engineering practices, and agentic AI orchestration systems. Translate business challenges into AI workflows, evaluate emerging AI technologies, document reusable standards, and collaborate with data teams and business stakeholders.

Perform data analysis across growth revenue management, marketing, CRM, customer lifecycle, and risk analytics. Use statistical and programming tools to clean, analyze, interpret, and visualize data; develop hypotheses and actionable recommendations; present findings; facilitate workshops; manage executive stakeholders; and mentor team members.

Build scalable data engineering solutions for digital marketing, e-commerce, business intelligence, and self-service analytics. Responsibilities include designing ETL/ELT pipelines, data lakes, anonymization workflows, streaming hubs, web services, and machine learning model pipelines. The role involves requirements gathering, client collaboration, mentoring, technical training, and contributing to Big Data strategies using Azure, Airflow, Kubernetes, Python, and related technologies.

Perform data analysis across growth revenue management, marketing, CRM, and risk analytics using statistical and programming tools. Clean, integrate, interpret, and visualize data; develop hypotheses and actionable recommendations; present findings to stakeholders and executives; facilitate workshops; and coach team members.

Provide hands-on IT and workplace support for laptops, mobile devices, meeting rooms, Microsoft 365, connectivity, and collaboration technologies. Manage Windows and macOS devices through Intune and Autopilot, support iOS and Android device management, oversee hardware lifecycle activities, and administer onboarding and offboarding. Serve as the primary IT contact for the Gurgaon office, maintain technical documentation, and collaborate with technology partners on modernization, automation, cloud, and security initiatives.

Lead data science initiatives, translate client business problems into analytics solutions, manage client relationships and project oversight, identify new opportunities, present recommendations, and guide junior team members. Apply data analysis, statistics, and programming expertise to deliver impactful outcomes for clients.

Leads data engineering teams and technical roadmaps while architecting and delivering scalable data platforms, ETL/ELT pipelines, data lakes, analytics products, APIs, dashboards, and recommendation systems. Responsibilities include Azure cloud development, data governance, automated testing, stakeholder collaboration, project leadership, technical standards, and coaching team members.

Support clients and internal teams with business technology assessments, digital transformation initiatives, technology evaluations, business cases, and solution recommendations. Analyze business processes, requirements, operating models, and technology landscapes. Facilitate stakeholder interviews and workshops, manage assigned workstreams, maintain delivery documentation, support project planning and Agile governance, and collaborate with analysts, product managers, project managers, architects, and technology teams. Travel may be required for client engagements.

Design and develop visually appealing, efficient Power BI reports; translate client requirements into technical architecture; solve problems using DAX and data modeling; facilitate workshops; and manage stakeholder and executive communications.

Build and maintain data pipelines in Palantir Foundry using Python and PySpark; develop data models, ontology, consumption layers, and analytic applications. Translate business requirements into technical solutions, ensure data quality through testing and monitoring, optimize Spark transformations, and apply software engineering practices. Collaborate with client data and IT teams on source integration and deployment. The role requires advanced SQL, cloud data platform experience, Git proficiency, and Spanish and English fluency.