Sr. Database Developer

TymblHub; Hinoba-an; Presencial; PHP 800 000 - 1 200 000; Tempo integral

Resumo da oferta

V2 Solutions is seeking a senior database professional with 5+ years of experience in database design, SQL development, and performance tuning. The role covers multiple database platforms including SQL Server, Oracle, PostgreSQL, and MySQL, with exposure to NoSQL databases and cloud services.

Candidates should demonstrate strong design and optimization skills for large-scale datasets. The ideal candidate will work on high-volume transactional systems, optimize queries, and contribute to hybrid

Qualificações

• 5+ years of experience in working with Databases.
• Proficiency in SQL development, stored procedures, functions, triggers, and views across multiple database platforms (SQL Server, Oracle, PostgreSQL, MySQL, Oracle 11g).
• Strong database design skills such as normalization, indexing strategies, partitioning, and performance optimization for large-scale government datasets.
• Knowledge in query optimization, execution plan analysis, and database performance tuning for high-volume transactional systems.
• Familiarity with cloud database services (Amazon RDS, Azure SQL Database, Google Cloud SQL) and hybrid cloud architectures.
• Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB).

Conhecimentos

SQL development

Database design

Query optimization

Cloud database services

NoSQL databases

Formação académica

B.Tech in Computer Science / MCA / Bachelor's in CS

Ferramentas

SQL Server

Oracle DB

MySQL

MongoDB

Cassandra

DynamoDB

Descrição da oferta de emprego

Job Summary & Job Description

Required Experience: He/She must have 5+ years of experience in working with Databases.

Required Skills & Competencies

• Proficiency in SQL development, stored procedures, functions, triggers, and views across multiple database platforms (such as SQL Server, Oracle, PostgreSQL, MySQL, Oracle 11g, etc)
• Strong database design skills such as normalization, indexing strategies, partitioning, and performance optimization for large-scale government datasets.
• Knowledge in query optimization, execution plan analysis, and database performance tuning for high-volume transactional systems.
• Familiarity with cloud database services (such as Amazon RDS, Azure SQL Database, Google Cloud SQL, etc) and hybrid cloud architectures.
• Knowledge of NoSQL databases (such as MongoDB, Cassandra, DynamoDB, etc).

Qualifications

• B.Tech in Computer Science or others / MCA / Bachelor's in Computer Science.