Database Engineer

4 weeks ago

Kanpur, Uttar Pradesh, India ZANSKAR RESEARCH Full time

Job Description: Database Engineer, Financial Markets

Job Type: Full-time

Role Overview

We are seeking a highly skilled and motivated Database Engineer to join our team, focusing on the core infrastructure that powers our financial trading and analysis platforms. The ideal candidate will be responsible for designing, developing, and maintaining high-performance, scalable database systems that handle vast volumes of financial market data, including tick-by-tick and OHLC data. This role is critical to ensuring data integrity, low-latency access, and seamless service for a diverse user base.

Key Responsibilities

Data Management and Modeling:

Design, implement, 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 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 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.

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++.

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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