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Responsibilities
- Design, develop, and optimize database architectures for scalability, performance, and data integrity
- Implement and manage database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)
- Develop and integrate AI-powered solutions using various technologies and frameworks, such as TensorFlow, PyTorch, or scikit-learn
- Implement and manage search capabilities using Elasticsearch and other relevant technologies, such as Apache Solr or OpenSearch
- Develop and optimize database queries and data analysis pipelines to support frontend visualization requirements
- Collaborate with cross-functional teams to identify and prioritize project requirements
- Participate in code reviews and contribute to the improvement of the codebase
- Troubleshoot and resolve technical issues related to database performance, AI integrations, search capabilities, and data analysis
- Stay up-to-date with the latest advancements in database management, AI, search technologies, and data analysis
- 1-2 years of experience in backend development with a focus on database management, AI, and data analysis
- Strong understanding of database fundamentals, data modeling, and database performance optimization
- Experience with AI-powered technologies and frameworks, such as machine learning, natural language processing, or computer vision
- Experience with search technologies, including Elasticsearch and other relevant frameworks
- Experience with similarity search libraries, such as FAISS or Annoy
- Strong skills in data analysis, data modeling, and data visualization
- Experience with data visualization tools, such as Tableau, Power BI, or D3.js
- Proficiency in one or more programming languages, such as Python, Java, or C++
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Strong problem-solving skills and attention to detail
- Excellent communication and teamwork skills
- Bachelor's degree in Computer Science or related field
- Experience with cloud platforms (AWS, GCP, Azure)
- Knowledge of data warehousing and ETL processes
- Familiarity with agile development methodologies
- Certification in database management, AI, data analysis, or related technologies
Key Skills
Ranked by relevance
data analysis
ai
data visualization
elasticsearch
natural language processing
data warehousing
containerization
machine learning
computer vision
kubernetes
postgresql
tensorflow
cassandra
power bi
tableau
pytorch
python
docker
apache
nosql
mysql
cloud
java
aws
gcp
etl
c
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- Posted
- Jan 23, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Bengaluru
- Company
- SISA
Industries
Computer
Network Security
Categories
Engineering
Information Technology
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Staff Software Engineer (Data Plane) - Go / Golang experience is a must - 6+Years
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