Description

You will design and architect production-ready, enterprise-grade data pipelines and data architectures.

Responsibilities

• Design, implement, and optimize NoSQL, graph, and document databases.
• Architect data pipelines for processing and leveraging unstructured data.
• Develop and manage data applications using Generative AI technologies.
• Explain complex technical concepts to both technical and non-technical stakeholders.
• Build and maintain data systems using Python and deep learning frameworks.

Required Skills

• 10+ years of experience in data engineering.
• 3+ years of experience focused on Generative AI technologies.
• Expertise in DB Architecture and PostgreSQL.
• Deep knowledge of VectorDBs, graph databases, and NoSQL (e.g., Cosmos DB, Mongo, DynamoDB).
• Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
• Experience with cloud platforms including Azure, AWS, or GCP.
• Hands-on experience with containerization using Docker and Kubernetes.
• Experience with AWS OpenSearch, GCP Vertex AI, or Neo4j.
• Any Graduate degree.

Key Skills

Education

Any Graduate