
Sr MERN Stack Developer
2 days ago
Senior MERN Stack Developer with Data Pipeline & ETL Experience
We are seeking a highly skilled and experienced Senior MERN Stack Developer with a proven track record in building robust data pipelines and ETL (Extract, Transform, Load) processes. The ideal candidate will be a full-stack expert, capable of designing, developing, and deploying scalable web applications from front to back, with a specific focus on efficient and reliable data integration and management within the MERN ecosystem. You will play a pivotal role in shaping our data architecture and ensuring seamless data flow for critical applications.
Responsibilities
MERN Stack Development
- Lead the design, development, and deployment of complex web applications using the MERN stack (MongoDB, , , ).
- Develop high-quality, scalable, and maintainable code for both front-end ) and back-end ) components.
- Design and implement RESTful APIs and ensure seamless integration between front-end and back-end services.
- Optimize application performance, scalability, and security across the full stack.
- Write comprehensive unit, integration, and end-to-end tests to ensure code quality and functionality.
- Collaborate closely with product managers, UX/UI designers, and other engineers to translate business requirements into technical solutions.
- Participate actively in code reviews, technical discussions, and sprint planning.
Data Pipeline & ETL
- Design, build, and maintain efficient and reliable data pipelines to extract, transform, and load data from various sources into MongoDB or other relevant data stores.
- Develop robust ETL processes using , Python, or other appropriate tools/scripts to clean, transform, and normalize large datasets.
- Implement data validation, error handling, and monitoring for all data ingestion and transformation processes.
- Optimize data models and database schemas (primarily MongoDB) for performance, scalability, and data integrity.
- Troubleshoot and resolve data-related issues, ensuring data accuracy and consistency across systems.
- Implement strategies for data versioning, auditing, and reconciliation.
- Evaluate and integrate third-party tools or services for data processing, streaming, or warehousing as needed.
Qualifications
- 6 years of professional experience as a Full Stack Developer, with at least 2-3 years specifically focused on the MERN stack.
- Demonstrable experience in designing and building data pipelines and ETL processes.
- Expert proficiency in JavaScript (ES6 ) and TypeScript.
- Strong expertise in
- Component-based architecture, Hooks, Context API / Redux (or other state management).
- Familiarity with modern front-end build pipelines and tools.
- Component-based architecture, Hooks, Context API / Redux (or other state management).
- In-depth knowledge of and
- Developing scalable APIs, asynchronous programming, middleware, authentication (JWT).
- Developing scalable APIs, asynchronous programming, middleware, authentication (JWT).
- Extensive experience with MongoDB:
- Schema design, aggregation framework, indexing, performance optimization.
- Experience with NoSQL databases in general.
- Schema design, aggregation framework, indexing, performance optimization.
- Proficiency with SQL for querying relational databases (if used as source systems for ETL).
- Solid understanding of data warehousing concepts and data modeling principles.
- Experience with version control systems (Git) and CI/CD pipelines.
- Strong understanding of RESTful API design principles.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a plus.
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication, collaboration, and leadership abilities.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred Skills & Experience (Nice to Haves)
- Experience with message queues (e.g., Kafka, RabbitMQ) for data streaming.
- Familiarity with other data processing frameworks (e.g., Apache Spark, Pandas).
- Knowledge of data security best practices.
- Experience with GraphQL.
- Previous experience in a senior or lead developer role, mentoring junior team members.
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