Principal Software Engineer - Data Analytics

📋 Description

• Build scalable, fault-tolerant big data platform for analytics.
• Develop backend services using Java, REST APIs, JDBC, and AWS.
• Build and maintain pipelines with Spark, Hadoop, Kafka, Snowflake.
• Architect real-time data processing workflows and automation.
• Lead projects to develop data processing/reporting features.
• Design GenAI analytics agents using LangChain, LlamaIndex, and integrate with OpenAI/Claude/Mistral.

🎯 Requirements

• 6+ years of Java/backend development experience.
• Strong CS fundamentals: data structures, algorithms, architecture.
• Hands-on with Big Data tools: Scala, Spark, Kafka, Hadoop, Snowflake.
• GenAI experience: LLMs (OpenAI/Claude/Mistral), LangChain, prompts, embeddings, RAG.
• Build/deploy scalable production AI/data systems; end-to-end feature ownership.
• Bachelor’s degree in engineering or equivalent.

🎁 Benefits

• Hybrid work schedule: 3 days in office, 2 remote.
• Healthcare insurance.
• Paternity/maternity leave.
• Broadband reimbursement.
• Kitchen snacks, drinks, and catered lunches.
• Collaborative, global team with growth opportunities.