Minimum 5 years of hands-on experience designing, building, and maintaining large-scale data pipelines for both batch processing and streaming use cases. Deep expertise in Python and SQL, with a focus on writing clean, performant, and maintainable code. Strong analytical and problem-solving skills, with the ability to break down complex technical challenges and align solutions to business objectives. Solid background in data modeling, analytics, and designing architectures for scalability, performance, and cost efficiency. Strong problem-solving skills and ability to work in a fast-paced, high-growth environment Practical experience working with modern OLAP systems and cloud data platforms, including Databricks, Snowflake, or BigQuery. Familiarity with AI agent protocols (such as A2A, MCP) and LLM-related technologies (e.g., vector databases, embeddings) is a plus. AI-saviness, with comfort adopting AI tools and staying current with emerging AI trends and technologies. Experience leading Task Forces and cross-domain projects
