Hirely is recruiting Big Data Engineers for a large-scale AI training project with a hiring partner.

You’ll apply your expertise in big data, Python, databases, and data engineering to build and optimize scalable data systems that support next-generation AI. Your work will help provide high-quality, reliable data infrastructure for AI systems to learn, reason, and perform.

What You'll Do

- Design, build, and maintain scalable big data pipelines and architectures
- Develop data integration, transformation, and processing solutions using Python
- Work with large-scale datasets and distributed data processing systems
- Develop, manage, and optimize relational and NoSQL databases
- Work with distributed technologies such as Hadoop, Spark, or Flink
- Build and maintain ETL pipelines and data workflows
- Apply data modeling and data warehousing principles
- Monitor, troubleshoot, and optimize data systems for performance and reliability
- Ensure data quality, security, and governance standards are maintained
- Collaborate with cross-functional teams to understand data requirements
- Document technical solutions and communicate complex concepts clearly
- Contribute to reliable data infrastructure supporting AI training and related workflows

Who We're Looking For

- Proven experience in big data engineering and large-scale data pipelines
- Strong proficiency in Python for data processing, automation, and integration
- Strong understanding of relational and NoSQL databases
- Experience with distributed data processing frameworks such as Hadoop, Spark, or Flink




- Solid understanding of data modeling, ETL, and data warehousing
- Experience optimizing databases and large-scale data systems
- Strong troubleshooting and problem-solving abilities
- Excellent written and verbal communication skills
- Robust attention to detail and data quality
- Ability to work independently in a remote environment
- Proactive and self-motivated approach to technical work
- Cloud-based big data experience with AWS, GCP, or Azure is preferred
- Familiarity with MLOps or data science workflows is a plus

Compensation & Terms

- $30-$80/hour
- Remote contractor opportunity
- Flexible remote work environment

Application Process

1. Complete the initial screening
2. Participate in the required AI interview
3. Complete any technical or project-specific assessment if requested
4. Proceed to onboarding upon selection

Important Requirement: This role requires hands-on experience building and maintaining large-scale data systems and pipelines. Candidates should be comfortable working with Python, databases, distributed data processing, and data engineering workflows independently.

About Hirely

Hirely connects professionals with remote opportunities from hiring partners across artificial intelligence, software engineering, cloud, data, research, and other specialised fields. Hirely acts as a recruitment and talent-sourcing partner for the hiring companies it represents. Final hiring decisions, onboarding, compensation, and project assignments are determined by the hiring partner.

📌 Big Data Engineer - AI Training (India)
🏢 Hirely
📍 India