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[15h Left] Data Scientist
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Data engineer
2 weeks ago
Responsibilities: Design, build, and maintain scalable data pipelines and ETL processes.
Optimize and manage SQL/No SQL databases (Big Query, Snowflake, Redshift, etc.).
Develop API integrations between backend services and front-end applications.
Work with the React team to build real-time, interactive data visualizations.
Optimize database queries, API performance, and data caching for efficiency.
Ensure data security, governance, and compliance best practices.
Collaborate with backend developers, data scientists, and product teams to align infrastructure with business goals.
Requirements: 3+ years of experience as a Data Engineer or similar role.
Proficiency in SQL, Python, and/or Scala for data processing.
Hands-on experience with React.js and modern front-end development.
Strong knowledge of RESTful APIs, Graph QL, and real-time data streaming.
Experience with data visualization libraries (D3.js, Recharts, Apex Charts).
Familiarity with Google Cloud (Big Query), AWS, Azure, or other cloud services.
Understanding of Next.js and its advantages for SSR, SSG, and API routing.
Ability to optimize database performance and troubleshoot complex queries.
Experience with containerization (Docker, Kubernetes) is a plus.
Nice to Have: Experience with machine learning pipelines or AI-driven analytics.
Knowledge of Type Script and Next.js for front-end enhancements.
Familiarity with serverless architectures and large-scale data lakes.
Why Join Analytics Model? ✅ Work on cutting-edge AI and analytics technology.
✅ Collaborate with a high-impact team of engineers and data scientists..
✅ Shape the future of conversational data analysis and AI-driven insights.
If you’re a data engineer who loves working with React and wants to build scalable, AI-powered analytics solutions, we’d love to hear from you