Advanced Database Professional

6 days ago

Bengaluru, Karnataka, India beBeeSqlDeveloper Full time ₹ 1,80,00,000 - ₹ 2,20,00,000
About the Role

We are seeking an experienced and highly skilled SQL Developer with a strong background in PL/SQL, Python, and API development to join our engineering team.

The ideal candidate will bring deep expertise in Oracle RDBMS, data warehouse concepts, and cloud-native technologies like Kubernetes and AWS.

This is a great opportunity for someone who thrives at the intersection of backend development and data engineering.

Key Responsibilities:
  1. Database Development: Design, develop, and maintain complex SQL and PL/SQL programs (procedures, functions, packages, triggers, and ref cursors).
  2. Query Optimization: Optimize SQL queries for performance, efficiency, and scalability.
  3. Data Normalization: Apply data normalization techniques and implement best practices for Oracle database performance tuning.
  4. API Development: Build and maintain RESTful APIs using Python and frameworks like Flask, Django, or FastAPI.
  5. API Integration: Integrate APIs with backend Oracle databases for CRUD operations and analytics.
  6. Data Manipulation: Use Python libraries such as Pandas, NumPy, and SQLAlchemy to manipulate and manage data pipelines and interfaces.
  7. Data Warehousing: Participate in the design and development of Data Warehouse solutions, including Data Marts and Operational Data Stores (ODS).
  8. ETL Processes: Understand and implement ETL/ELT processes aligned with business logic and data governance standards.
  9. Data Quality: Ensure high data accuracy and quality for downstream reporting and analytics use cases.
  10. Security Measures: Implement and maintain API authentication and authorization mechanisms using OAuth2, JWT, or similar technologies.
  11. Access Control: Ensure robust access control and data security practices are enforced across the backend systems.
  12. Cloud Services: Work with AWS cloud services such as EC2, S3, RDS, Lambda, etc., for application deployment and data management.
  13. Kubernetes Management: Deploy and manage backend services on Kubernetes clusters; handle container orchestration and monitoring.
  14. IaC Tools: Use infrastructure-as-code (IaC) tools such as Terraform or CloudFormation for automating cloud resource deployment.

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