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Data Scientist
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Job Description:
We are seeking a skilled Platform Architect to design, develop, and deploy a cutting-edge platform for data ingestion, contextualization, and visualization. The ideal candidate will have strong expertise in Node.js and Python programming languages, as well as hands-on experience with streaming technologies like Apache Kafka, NiFi, Redis Streams, or AWS Kinesis.
Key Responsibilities:
- Design and implement real-time ingestion pipelines using the chosen technology stack.
- Collaborate with frontend engineers to integrate visual mapping UI with back-end pipelines.
- Optimize database query performance using down-sampling, partitioning, and caching techniques.
Requirements:
- Strong proficiency in Node.js and Python programming languages.
- Hands-on experience with streaming technologies like Apache Kafka, NiFi, Redis Streams, or AWS Kinesis.
- Expertise in time-series databases like MongoDB, InfluxDB, TimescaleDB, or AWS Timestream.
- Familiarity with graph databases like Neo4j and vector databases like Qdrant, FAISS, Pinecone, or Weaviate.
- Experience with Agentic AI frameworks, multi-agent orchestration, and context-aware data processing.
- Strong grasp of algorithms, distributed systems, microservice design, and API security.
Benefits:
- Opportunity to work on a challenging project that leverages cutting-edge technologies.
- Collaboration with experienced professionals in the field of data science and engineering.
- Flexible working hours and remote work options.
Preferred Skills:
- Experience with machine learning and NLP integration into multi-modal pipelines.
- Knowledge of CI/CD automation and DevOps practices.
- Familiarity with compliance frameworks like GDPR and SOX.