Job Description

- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.

- Strong proficiency in relational databases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra, Redis).

-Hands-on experience with cloud-based database services (e.g., AWS RDS, Aurora, DynamoDB; Azure SQL Database; Google Cloud Spanner, BigQuery).

-7-15 years of experience in database architecture and design

-Must be located in commutable distance to Uttar Pradesh, India

-Background in fintech, data automation, or SaaS platforms focused on data reconciliation and AI-driven financial automation.

-Experience with AI/ML-specific data tools, such as vector databases (e.g., Pinecone, Milvus) for embedding storage or graph databases for relationship modeling.

-Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) for deploying database solutions in ML pipelines.

-Certifications in database management (e.g., Oracle Certified Professional, AWS Certified Database) or AI/ML (e.g., Google Cloud Professional Data Engineer).

-Strong communication skills to articulate technical concepts to non-technical stakeholders.

Job Type: Full-time

Pay: From ?1,000,000.00 per year

Work Location: In person