About The Role
Capital Now's technical team is seeking a hands-on Full Stack Developer with 2+ years of
experience in Angular and Node.js. This role involves building scalable web applications,
optimising database interactions, and integrating cloud infrastructure with DevOps practices. If
you have experience in real-time data streaming, ETL processes, and the finance domain, you will
be a strong fit for this role.
Responsibilities
- Design, code, test, and debug scalable technical solutions using Agile development
practices.
- Develop front-end applications using Angular and backend services using Node.js,
ensuring optimal integration and performance.
- Build and maintain SQL databases like MySQL, optimizing for performance with large
datasets.
- Design and implement ETL pipelines for efficient data ingestion, transformation, and
storage, utilizing tools like Amazon S3.
- Develop and manage infrastructure as code using Terraform; automate deployments
using Docker; ensure the health of applications and data processes, especially within ETL
frameworks and databases.
- Analyze large datasets to derive actionable insights with a special focus on financial data
Essential Qualifications
- 2+ years of experience in full stack development (Angular, Node.js) and data analysis.
- Proficiency in building and maintaining SQL databases, with hands-on experience in
OLAP systems and Amazon S3.
- Strong experience in building and maintaining ETL pipelines for data processing.
- Hands-on experience with Terraform and DevOps tools for infrastructure automation and
deployment.
- Strong knowledge of cloud platforms (AWS) and containerization (Docker, Kubernetes).
- Experience in analyzing large datasets, particularly financial data, and deriving actionable
insights.
- Strong analytical, problem-solving, and communication skills.
Desired Qualifications
- Immediate joiner is preferred.
- Prior experience in the financial sector, particularly dealing with capital markets data.
- Knowledge of real-time data streaming technologies and familiarity with OLAP systems
for in-depth data analysis.
