AI Data Engineer

Role Overview

Hiringhood is seeking a dedicated AI Data Engineer for a full-time, onsite position. This role is ideal for professionals with 1-10 years of experience looking to build and maintain robust data architectures in a high-impact environment.

Responsibilities

• Design, build, and maintain scalable Data Pipelines using ETL and ELT processes.
• Implement Batch Processing and Stream Processing workflows.
• Manage and optimize Data Warehousing solutions and Data Modeling.
• Ensure high Data Quality and implement effective Pipeline Monitoring.
• Collaborate on integrating Generative AI and LLM capabilities into data workflows.

Requirements

• B.E., B.Tech, M.Tech, MCA, M.Sc in Computer Science, IT, AI, or Data Science.
• 1-10 years of relevant experience in data engineering.
• Ability to work onsite during office hours (09:30 AM - 06:30 PM).
• Immediate joiners preferred.

Skills

• Python
• Apache Spark
• SQL
• AWS
• Airflow

Nice to Have

• Experience with dbt, Delta Lake, and Kubernetes.
• Knowledge of MLOps, LangChain, and Vector Databases.
• Familiarity with CI/CD and Terraform.