High-Performance Database Solutions Architect

2 days ago

Thiruvananthapuram, Kerala, India beBeeDatabase Full time ₹ 18,00,000 - ₹ 24,00,000
Job Title: Database Engineer

Key Responsibilities:

We are seeking a highly skilled and experienced Database Engineer to lead the design, development, and maintenance of high-performance database systems. The ideal candidate will be responsible for architecting and implementing scalable solutions that handle vast volumes of financial market data.

The Database Engineer will work closely with cross-functional teams to ensure seamless service for users and implement robust backup and disaster recovery solutions.

Database Management:

  • Design, implement, and maintain database schemas for storing and retrieving time-series financial data.
  • Develop and optimize ETL (Extract, Transform, Load) 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 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, and 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.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Database Engineer, Data Engineer, or similar role.
  • Strong proficiency in SQL and experience with both relational (e.g., PostgreSQL, MySQL) and non-relational databases (e.g., MongoDB, Cassandra, InfluxDB).
  • Experience with time-series databases is highly desirable.
  • Solid programming skills in Python, Java, or C++.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and related database services.
  • Understanding of data structures and algorithms, with a focus on performance optimization.

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