About The Role :
Capita Now 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, optimizing 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(ref : hirist.tech)