Database Engineer

Role:

Looking for passionate engineers who are hands on, grounded, opinionated and passionate about building products using technology. You will partner with stakeholders and work with teams to design, develop, and maintain complex systems. You will build world class products through solving challenging problems with using cutting edge technology. You will work with empathetic, smart and motivated teammates in a fast-paced, collaborative environment.

Responsibilities:

· Design, develop, and maintain backend services and database components that support scalable and reliable applications

· Write efficient, secure, and optimized SQL queries, stored procedures, and backend logic

· Collaborate with application developers, DevOps, and QA teams to ensure data integrity, performance, and availability

· Participate in database schema design, data modeling, and versioning in alignment with application requirements

· Identify and resolve performance bottlenecks, query inefficiencies, and data consistency issues

· Implement and follow best practices for data access, transaction management, and error handling

· Support data migrations, upgrades, and deployment activities across environments

· Ensure adherence to security, compliance, and data protection standards

· Contribute to code reviews, technical discussions, and continuous improvement initiatives

· Document database designs, data flows, and operational guidelines

Technical / process skills:

Must have:

· Strong hands-on experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle

· Proficiency in SQL, including complex joins, subqueries, indexing, and query optimization

· Experience in database schema design and normalization for transactional systems

· Experience working in cloud environments (AWS / Azure / GCP), including managed database services

· Understanding of data security concepts, including role-based access, encryption, and secure credentials handling

· Experience using version control systems such as Git

· Ability to debug, troubleshoot, and resolve data-related production issues

Good to have:

· Exposure to NoSQL databases such as MongoDB, Cassandra, DynamoDB, or Redis

· Experience with database performance tuning, indexing strategies, and execution plan analysis

· Familiarity with data migration tools and schema versioning tools (Flyway, Liquibase)

· Understanding of asynchronous processing and messaging systems (Kafka, RabbitMQ, cloud-native queues)

· Exposure to basic DevOps practices, such as CI/CD pipelines for database changes

· Knowledge of logging, monitoring, and alerting related to backend and database layers

· Awareness of backup, recovery, and high availability concepts

· Exposure to AI-assisted development tools for query optimization, code review, or documentation (e.g., Copilot)

Soft skills:

● Excellent Communication Skills

● Experience leading small teams and interacting with stakeholders to under business problems

● Ability to gather business requirements and interface with customer teams as required

● Excellent analytical and problem-solving skills

● Team player