AI Data Engineer
Weekday AI (company site, opens in a new tab)7–18 yrsBengaluruOn-siteDirect career pageEst. 45–65 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT pipelines and data infrastructure supporting AI, ML, and Generative AI applications.
- Build and optimize batch and real-time data processing systems to enable model training, validation, and deployment workflows.
- Lead technical architecture decisions, ensure data quality/security, and collaborate with AI, ML, and product teams across cloud platforms.
Minimum Requirements
- 7+ years of experience in Data Engineering, AI Data Engineering, or related roles.
- Proficiency with Python, SQL, Apache Spark, Kafka, and Airflow for distributed data systems.
- Experience with cloud platforms such as AWS, Azure, or GCP and large-scale data architectures (data lakes, warehouses, lakehouses).
- Work Experience Required: 7+ years
Ideal Candidate Profile
- Strong background in AI/ML data workflows including Generative AI, vector databases, embeddings, and RAG architectures.
- Experienced in building and optimizing scalable, production-grade data pipelines with a focus on performance and cost efficiency.
- Capabilities in cross-team technical leadership, mentoring engineers, and deploying infrastructure automation (Docker, Kubernetes, CI/CD).