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Mid-level Bangalore data role with broad stack and recognizable global brand yields high candidate competition.
Core data engineering skills are transferable, but Databricks/Azure and Agentic AI experience increase domain specificity.
Explicit 6+ years plus many mandatory Databricks, PySpark, Azure and Agentic AI skills make shortlisting highly strict.
Own design and delivery of scalable, fault-tolerant data pipelines, platform components, and agentic AI workflows on Databricks and Azure for commercial real estate data intelligence.
Set technical direction, mentor junior engineers, and lead engineering best practices including AI integration and pipeline reliability across the data engineering team.
Architect enterprise-scale data platforms incorporating Agentic AI automation such as self-healing pipelines and LLM-powered query capabilities.
6+ years of professional data engineering experience with Python, SQL, PySpark, and cloud data platforms (Databricks, Azure Synapse, or equivalent).
2+ years hands-on experience building/shipping AI/ML integrations or agent frameworks (e.g., LangGraph, LangChain) in production.
Experience with cloud orchestration tools (Azure Data Factory, Airflow, Databricks Workflows) and strong knowledge of Delta Lake and lakehouse architectures.
Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent professional experience; role requires on-site work in Bengaluru, KA.
Senior-level engineer with demonstrated ownership of end-to-end data domains and technical leadership in medium-to-large scale initiatives.
Experience architecting and operating AI-augmented data platforms with Agentic AI workflows, multi-agent orchestration, and integration of LLM APIs.
Proven mentor and driver of engineering best practices with strong strategic influence on technical roadmaps and adoption of emerging AI frameworks.