AnswerRocket

Data Engineer

• Build and maintain data pipelines using cloud platforms and orchestration tools under senior engineer guidance
• Implement ETL/ELT processes for data ingestion, transformation, and quality validation
• Contribute to data warehouse development and optimization projects
• Support AI/ML pipeline development and model deployment processes
• Write and maintain SQL queries, Python scripts, and data transformation logic
• Assist with data quality monitoring, testing, and troubleshooting production issues
• Build simple APIs and data access interfaces following established patterns
• Participate in code reviews and contribute to team documentation and best practices
• Learn and apply new technologies as part of ongoing skill development

AI Engineer

• Build and optimize data pipelines and AI systems
• Implement data pipelines using modern cloud platforms (Databricks, Snowflake, BigQuery) and streaming technologies (Kafka, Spark)
• Build and optimize ETL/ELT processes for large-scale data ingestion and transformation
• Develop RAG pipelines, vector search systems, and chatbot integrations using LangChain and OpenAI APIs
• Create ML pipelines with automated training, monitoring, and deployment using MLOps best practices
• Implement cloud-native solutions using AWS, Azure, and GCP services
• Build data quality monitoring and observability systems to ensure pipeline reliability
• Develop APIs and web interfaces for data access and analytics dashboards
• Optimize system performance, troubleshoot production issues, and implement cost-efficient solutions
• Contribute to code reviews, documentation, and engineering best practices

Data Engineer

Senior Data Engineer, AI