Job Description
6–10+ years’ experience in Full Stack , Data Engineering & AI/LLM systems.
• Hands-on engineer combining enterprise Azure data platforms with modern GenAI (LLM/RAG) to deliver scalable, production-ready AI and analytics solutions.
• Build and optimize data pipelines using Azure Data Factory, Databricks (PySpark/Delta Lake), ADLS.
• Strong expertise in Python/Pyspark
• Design scalable distributed systems for batch and streaming data.
• Develop GenAI solutions using Azure OpenAI / OpenAI (RAG, embeddings, agents).
• Implement advanced RAG architectures with vector databases and hybrid retrieval.
• Deploy and support production workloads using Docker, Kubernetes, CI/CD.
• Understanding of system architecture concepts: distributed systems, caching, replication, data modeling.
• Knowledge of capital markets, including familiarity with asset classes such as Fixed Income, FX, or Derivatives.
• Collaborate in Agile teams and support production data applications.
Experience: 3-5 Years .
The expected compensation for this role ranges from CAD 57000 to CAD 90000 .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.