Careers – CloudNCluster Inc

Job Opening

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To Seek Opportunities For Employment

Current Opportunities

🧑‍💻 Full Stack Developer

Job Duties:

Design and develop end-to-end web applications using front-end and back-end technologies.
Build responsive UI components with modern frameworks (e.g., React, Angular, Vue).
Develop and maintain RESTful APIs and integrate with databases.
Collaborate with cross-functional teams to define and implement new features.
Troubleshoot, debug, and optimize applications for performance and scalability.
Participate in code reviews and follow best development practices.

🎨 Front-End Developer

Job Duties:

Develop interactive and visually appealing user interfaces using HTML, CSS, and JavaScript.
Work with front-end frameworks like React, Angular, or Vue.
Ensure web applications are mobile-responsive and cross-browser compatible.
Collaborate with designers and back-end developers to bring mockups to life.
Optimize UI performance and ensure smooth user experiences.
Maintain and update existing websites or applications.

📊 Data Analyst

Job Duties:

Collect, clean, and analyze data to help business decision-making.
Create dashboards and reports using tools like Excel, Power BI, or Tableau.
Identify trends, patterns, and insights in data.
Work with teams to understand reporting needs and provide accurate visualizations.
Use SQL to extract data from databases for analysis.
Support data quality and integrity across reports.

🏗️ Data Engineer

Job Duties:

Build and maintain scalable data pipelines and ETL processes.
Integrate data from various sources into centralized systems or data warehouses.
Work with cloud platforms (AWS, Azure, GCP) and big data tools.
Ensure data quality, reliability, and performance of pipelines.
Collaborate with analysts and data scientists for data availability.
Optimize data storage and architecture for efficiency.

🧠 Data Scientist

Job Duties:

Analyze complex datasets to identify patterns and trends.
Build predictive models and machine learning algorithms.
Interpret data to provide actionable insights to business teams.
Use programming languages like Python or R for statistical analysis.
Work closely with data engineers and analysts to prepare data.
Visualize data findings through reports and dashboards.

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