Database Architect

14 hours ago

Anand, Gujarat, India beBeeDatabase Full time US$ 1,20,000 - US$ 1,80,000

Job Title:

Database Architect

Overview:

We are seeking a skilled Database Architect to design, implement, and maintain scalable database solutions.

Key Responsibilities:

  • Database Design and Implementation
    • Design and implement database schemas for storing and retrieving time-series financial data.
    • 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 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, 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, ensuring high availability and system stability.
  • System Maintenance and Monitoring
    • Monitor database performance, conduct regular health checks, and troubleshoot issues in a high-pressure, real-time environment.
    • Implement robust backup, disaster recovery, and high-availability solutions.
    • Stay up-to-date with industry best practices and emerging technologies in database management and big data.
  • Requirements:
    • 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++.
    • Hands-on experience with API development using frameworks like FastAPI, Flask, or Spring Boot.
    • Familiarity with cloud platforms (AWS, Azure, or GCP) and related database services.
    • Understanding of data structures and algorithms, with a focus on performance optimization.
  • Desirable Skills:
    • Experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
    • Knowledge of financial markets and the unique challenges of handling market data.
    • Experience with containerization technologies like Docker and orchestration with Kubernetes.
    • Familiarity with load balancing principles and tools.

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