Data Engineer

Responsibilities:

• Build scalable, high-performance backend systems for data-intensive applications.
• Design data access layers, APIs, workflows, and scalable data services.
• Work with Snowflake and large-scale data platforms.
• Build intelligent data products using GenAI/LLMs for anomaly detection, summarization, and insights.
• Design scalable data models, schemas, and analytics solutions.
• Work on real-time/near-real-time processing and distributed systems.
• Optimize performance through query tuning, caching, and efficient data-access patterns.

Requirements:

• 4+ years of backend engineering experience.
• Strong Python / Java or similar programming language.
• Strong SQL, query optimization, and large-scale data handling.
• Experience with PostgreSQL / MySQL / Snowflake / Redshift or similar databases.
• Strong understanding of distributed systems, scalability, system design, and reliability.
• Cloud experience with AWS / GCP / Azure.
• Exposure to GenAI/LLMs, embeddings, vector search, or LLM-powered applications.
• Kafka/Kinesis and Spark/Airflow experience is a plus.
• Strong problem-solving and communication skills.
• Good to have: Data engineering, streaming systems, analytics platforms, GenAI/LLM, and data visualization experience.