Database Engineer
3 weeks ago
- Database Design & Development: Design, develop, and optimize relational (SQL) and NoSQL databases based on business requirements.
- SQL & Query Optimization: Write complex SQL queries, optimize database performance, and implement indexing, partitioning, and query tuning strategies.
- Database Administration: Monitor and maintain databases to ensure performance, security, and high availability.
- Cloud Database Management: Deploy, manage, and optimize databases on cloud platforms such as AWS, Azure, or GCP.
- Stored Procedures & Triggers: Develop functions, views, procedures, triggers, and manage database security using DDL, DML, DCL, and DQL.
- Data Warehousing: Work with data warehousing solutions (Snowflake, Redshift, BigQuery, Synapse) for analytics and reporting needs.
- Data Migration & ETL: Support ETL processes and data migration strategies for efficient data movement across different systems.
- Backup & Recovery: Implement disaster recovery, replication, and backup strategies to prevent data loss.
- Troubleshooting & Debugging: Perform root cause analysis and troubleshooting of database and application issues.
- BI & Analytics Support: Work with BI tools like Power BI, Tableau, QuickSight, or Looker to support data visualization and reporting needs.
- Collaboration & Support: Collaborate with development, DevOps, and infrastructure teams to integrate and enhance database solutions.
- Automation & Scripting: Utilize Python or other scripting languages to automate database management and monitoring tasks.
- Security & Compliance: Ensure databases comply with security best practices and industry regulations.
- Bachelor's/Master's degree in Computer Science, Information Technology, or related field.
- Proven experience in SQL and relational database management systems (MySQL, PostgreSQL, SQL Server, Oracle, etc.).
- Hands-on experience with NoSQL databases (MongoDB, DynamoDB, CosmosDB, etc.).
- Expertise in database performance tuning and query optimization.
- Familiarity with cloud databases and infrastructure (AWS RDS, Azure SQL, Google Cloud SQL, etc.).
- Experience with ETL tools and data migration strategies.
- Strong knowledge of data modeling, indexing, partitioning, and replication.
- Understanding of data warehousing and analytics concepts.
- Experience with database monitoring tools and techniques.
- Excellent problem-solving, analytical, and communication skills.
- Experience in big data technologies (Hadoop, Spark, Kafka, etc.).
- Experience with Python is a plus.
- Experience with BI tools (PowerBI/ Tableau/ QuickSight/ Looker) is a plus.
- Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture.
- Flexible work timing, 18+12 leaves, leaves for life events, work-from-home options.
- Free health insurance.
- Office facility with a fully-equipped game zone, in-office kitchen with affordable lunch service, and free snacks.
- Sponsorship for certifications/events and library service.
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