Jobs → Data & Analytics → Data / Analytics Engineer

About the Role We are looking for an experienced Data / Analytics Engineer with strong expertise in cloud data platforms, scalable data pipelines, and AI/LLM integration to join a dynamic engineering team. Key Responsibilities • Build and maintain large-scale data ingestion and transformation pipelines • Develop production workflows using Apache Airflow, AWS Step Functions, Glue, Athena and PySpark • Build and optimize dbt models on Snowflake • Design and manage Apache Iceberg tables and lakehouse architectures • Implement Infrastructure as Code (IaC) using Terraform • Integrate LLMs into production workflows using OpenAI, Anthropic or AWS Bedrock • Develop LLM-powered features, including structured outputs, tool calling and evaluation workflows • Ensure data quality, pipeline monitoring, automated testing and performance optimization Requirements • 5+ years of experience in Data Engineering / Analytics Engineering • Strong Python and Advanced SQL • Hands-on experience with dbt and Apache Airflow • AWS services: S3, Lambda, Glue, Step Functions and Athena • Snowflake, Spark / PySpark and Lakehouse technologies • Strong Terraform / Infrastructure as Code experience • Production-level LLM integration and API handling • Prompt Engineering, LLM Evaluation and Regression Testing • Experience with AI Coding Agents such as Claude Code or similar