Senior Full Stack Data Platform Engineer
Bangalore, Karnataka, India
INR 3000K-4500K (estimate) Senior-level Full Time
Tasks
- Architect scalable data platforms
- Build backend microservices
- Build high-throughput data pipelines
- Build reusable components and pipelines
- Develop robust APIs
- Enable real time model inference
- Implement DAG based data processing
- Implement search and retrieval services
- Implement unstructured data storage strategy
- Ingest and normalize unstructured data
- Manage metadata for processed data
- Optimize database queries
- Optimize serialization and network calls
- Use vector databases for semantic search
- Wrap and serve NLP and ML models
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Apache Airflow | Apache Arrow | Apache Iceberg | Apache Parquet | C++ | DAG | Data Pipelines | Distributed file systems | ETL | Elasticsearch | File systems | GCP | GenAI | Java | Kafka | Machine Learning | Microservices | MongoDB | NLP | NoSQL | OCR | Python | Redis | SQL | Semantic Search | Serverless | Solr | Speech Recognition | Text extraction | Vector Databases
Education
N/A
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