Database Solutions Architect

6 days ago

Agra, Uttar Pradesh, India beBeeDatabase Full time ₹ 11,50,000 - ₹ 18,15,000

Job Description:

We are seeking a skilled Database Solutions Architect to design, develop and maintain high-performance, scalable database systems for financial trading analysis platforms.

Data Management and Modeling:

  • Design and implement database schemas for storing and retrieving time-series financial data, including high-frequency tick data and other market-specific datasets.
  • Develop and optimize ETL processes for ingesting data from various market sources in real-time.
  • Ensure data integrity, consistency and accuracy across all databases.

API Development and Integration:

  • Write robust and efficient APIs to provide programmatic access to both historical and real-time market data for internal and external users.
  • Implement data retrieval services that can handle high throughput and low-latency queries.
  • Collaborate with application developers to integrate database services with trading analytics visualization tools.

Performance and Scalability:

  • Architect and manage database solutions capable of handling extremely high write and read loads associated with tick-by-tick data.
  • Implement advanced performance tuning techniques, including indexing, query optimization and caching strategies.
  • Develop and maintain load balancing mechanisms to distribute user requests efficiently across multiple database instances, ensuring high availability and system stability.

System Maintenance and Monitoring:

  • Monitor database performance and conduct regular health checks to troubleshoot issues in a high-pressure, real-time environment.
  • Implement robust backup and disaster recovery solutions.
  • Stay up-to-date with industry best practices and emerging technologies in database management and big data.

Required Skills and Qualifications:

Bachelor's or Master's degree in Computer Science or related field.

Proven experience as a Database Engineer or similar role.

Strong proficiency in SQL and experience with both relational and non-relational databases.

Experience with time-series databases highly desirable.

Solid programming skills in Python, Java or C++.

Familiarity with cloud platforms and related database services.

Understanding of data structures and algorithms with a focus on performance optimization.

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