- Frontend Development: Design and develop user-facing web applications using modern frontend languages like HTML, CSS, and JavaScript and frameworks like React.js, Angular, or Vue.js.
- Backend Development: Build and maintain server-side application logic using languages such as Node.js, Python, Ruby, Java, or PHP, and manage database interactions with MySQL, PostgreSQL, MongoDB, or other database systems.
- API Development and Integration: Develop and integrate RESTful APIs to connect frontend and backend components, ensuring smooth data flow and communication between different parts of the application.
- Database Management: Design, implement, and manage databases, ensuring data integrity, security, and optimal performance.
- Version Control and Collaboration: Use Git and other version control systems to track code changes and collaborate with other team developers.
- Deployment and DevOps: Automate deployment processes, manage cloud infrastructure, and ensure the scalability and reliability of applications through CI/CD pipelines.
- Security Implementation: Implement security best practices to protect the application from vulnerabilities, including authentication, authorization, and data encryption.
- Cross-Platform Optimization: Ensure the application is responsive and optimized for different devices, platforms, and browsers.
- Troubleshooting and Debugging: Identify, diagnose, and fix bugs and performance issues in the application, ensuring a smooth user experience.
- Collaboration and Communication: Work closely with product managers, designers, and other stakeholders to understand requirements and deliver solutions that meet business needs.
- Continuous Learning: Stay updated with the latest technologies, frameworks, and industry trends to improve development practices continuously.
- Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
- Experience: [5]+ years of experience as a Full Stack Developer or in a similar role.
- Technical Skills:
- Proficiency in frontend technologies like HTML, CSS, JavaScript, and frameworks like React.js, Angular, or Vue.js.
- Strong backend development experience with Node.js, Python, Java, or similar languages.
- Hands-on experience with databases like MySQL, PostgreSQL, MongoDB, or similar.
- Familiarity with version control systems, notably Git.
- Experience with cloud services like AWS, Azure, or Google Cloud.
- Knowledge of CI/CD pipelines and DevOps practices.
- Understanding of security principles and how to apply them to web applications.
- Soft Skills:
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and the ability to work collaboratively in a team environment.
- Ability to manage multiple tasks and projects simultaneously.
- Eagerness to learn new technologies and improve existing skills.
What We Do
Driving Innovation through Advanced Data and AI Services.
We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.
To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:
01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases
02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud
03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment
