Quant Developer

2 weeks ago


Bengaluru, Karnataka, India Expian Technologies Private Limited Full time

ROLES AND RESPONSIBILITIES

Development and Implementation:
Develop and maintain robust back-end services and APIs to support front office applications.
Ensure high performance and responsiveness of the back-end infrastructure.
Implement server-side logic and database management for optimal efficiency and reliability.

Data:
Design, build, and maintain resilient ETL pipelines and workflows.
Design and implement data structures and models within application contexts.
Develop functionalities for data querying, processing, and aggregation directly within applications.
Integrate data-driven analytics and reporting features into applications.
Apply best practices for data management and data lifecycle.
Ensure time-series data accuracy and integrity in all financial datasets.
Develop and optimise database systems for performance and reliability.
Implement data governance and security measures.

Database and Data Storage Solutions:
Manage and optimise relational and non-relational databases for application use.
Implement effective data caching strategies to enhance application performance.
Oversee data storage and retrieval mechanisms tailored for application needs.

Collaboration and Communication:
Collaborate with front office staff, technology teams, and other stakeholders to gather requirements and feedback.
Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
Participate in cross-functional projects and initiatives as required.

Financial Data Expertise:
Some experience with financial market data with preference on bond timeseries and reference datasets.
Experience with handling and interpreting reference data relevant to financial markets.

KEY REQUIREMENTS
3+ years of experience in application development and data engineering.
3+ years of experience in Python and libraries like NumPy, Pandas and Pyspark.
1+ years of experience building, maintaining ETL pipelines, workflow management.
1+ years of experience in cloud computing services of AWS.
1+ years of experience in MongoDB.
Good knowledge in database design, management, and data modelling.
Knowledge with containerization tools (Docker, Kubernetes) is highly desirable.
C++ or Java is desirable.
Proven ability to build and maintain data-intensive applications.
Bachelor's or Master's degree in Computer Science or related field.
Strong problem-solving skills and attention to detail.
Strong English communication skills, both written and spoken, is crucial.
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