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ZongoVita - Backend Engineer - SQL/NoSQL Databases
1 month ago
Job Description :
We are seeking a highly skilled and experienced Backend Engineer to join our dynamic engineering team. The ideal candidate will have a proven track record of working with both SQL and NoSQL databases, vector databases, and time series databases. This role requires strong problem-solving skills, expertise in database design, and the ability to optimize and tune database performance.
Key Responsibilities :
- Design, implement, and maintain backend systems using SQL and NoSQL databases.
- Develop and manage vector and time series databases to handle specific application needs.
- Optimize database performance, including query tuning, indexing, and caching strategies.
- Collaborate with frontend developers, data scientists, and other stakeholders to design and implement scalable and efficient database solutions.
- Analyze and resolve complex database issues, ensuring data integrity and security.
- Develop and enforce database standards, best practices, and security measures.
- Conduct performance monitoring, capacity planning, and troubleshooting for backend systems.
- Stay updated with the latest database, AI technologies and industry trends, implementing new technologies and processes as needed.
Required Qualifications :
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Advanced degrees are a plus.
- 5+ years of experience in backend engineering with a focus on database management.
- Extensive experience with SQL databases (e.g., MySQL, PostgreSQL, SQL Server).
- Proficiency in NoSQL databases (e.g. MongoDB).
- Expertise in time series databases (e.g., TimescaleDB, InfluxDB).
- Experience with in-memory databases (e.g., Redis, Memcached).
- Strong understanding of database design principles, normalization, and data modelling.
- Proficiency to create manage REST APIS using Express JS or equivalent.
- Proven track record of solving complex queries and performance tuning.
- Familiarity with backend programming languages such as Python, JavaScript, Node.js or Go.
- Excellent problem-solving skills and ability to work independently as well as in a team.
- Strong communication skills, both written and verbal.
- Proficient in ETL process manually and automation using Python or equivalent.
Preferred Qualifications :
- Hands-on experience with vector databases (e.g., Milvus, Elasticsearch, Faiss, Weaviate).
- Knowledge of data warehousing solutions (e.g. , Amazon Redshift, Delta Lake).
- Experience with microservices architecture and containerization (e.g., Docker, Kubernetes).
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