Database Solutions Architect

6 days ago

Jamnagar, Gujarat, India beBeeDatabase Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Database Solutions Architect

We are seeking a skilled professional to design and implement efficient database systems, focusing on core infrastructure that powers financial trading and analysis platforms.

Key Responsibilities:

Data Management and Modeling:

Create and maintain database schemas for storing and retrieving time-series financial data, including high-frequency tick data, OHLC data, and other market-specific datasets.

Develop 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 APIs to provide programmatic access to both historical and real-time market data for internal and external users.

Implement data retrieval services that 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 high write and read loads associated with tick-by-tick data.

Implement performance tuning techniques, including indexing, query optimization, and caching strategies.

Develop 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 environment.

Implement 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 related field.

Proven experience as a Database Engineer, Data Engineer, or similar role.

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

Experience with time-series databases is 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 focus on performance optimization.

Desirable Skills:

Experience with big data technologies like Apache Spark, Hadoop, or Kafka.

Knowledge of financial markets and 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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