PostgreSQL
MongoDBKey Responsibilities
Performance Optimization & Query Tuning
• Tune query performance for PostgreSQL, EdgeDB, MongoDB Atlas, and Snowflake.
• Analyze execution plans, identify bottlenecks, and implement indexing & caching strategies.
• Work with engineering teams to optimize schema design for OLTP (Postgres/EdgeDB) and metadata storage (MongoDB).
Database Architecture & Scalability
• Design multi-tenant scaling strategies for PostgreSQL and MongoDB Atlas (schema, sharding, partitioning).
• Implement high-availability, replication, and clustering configurations.
• Optimize Snowflake warehouse configurations for query speed and cost control.
Operational Excellence
• Plan and execute zero-downtime database upgrades and schema migrations.
• Set up proactive monitoring, alerting, and anomaly detection across all database systems.
• Manage capacity planning for storage and compute resources across Postgres, MongoDB Atlas, and Snowflake.
Storage & Cost Optimization
• Reduce storage costs via archiving, partitioning, compression, and lifecycle policies.
• Optimize Snowflake compute and storage usage with warehouse tuning and data pruning.
• Implement tiered storage strategies for cold vs. hot data.
Security, Compliance & Governance
• Enforce encryption, access controls, and audit logging across all databases.
• Ensure compliance with GDPR, SOC 2, and other relevant regulations.
Collaboration & Knowledge Sharing
• Partner with backend, platform, and data engineering teams to ensure efficient database usage.
• Provide training and documentation on query best practices and schema design.
Qualifications
Required:
• 7+ years DBA experience, with deep expertise in PostgreSQL and MongoDB Atlas.
• Strong understanding of multi-tenant architectures in production.
• Experience with Snowflake query optimization, warehouse tuning, and cost management.
• Proven success in executing zero-downtime upgrades and large-scale migrations.
• Strong skills in query optimization, indexing, partitioning, and sharding.
• Proficiency in scripting (Python, Bash, SQL) for automation.
• Hands-on experience with monitoring tools (pg_stat_statements, Atlas monitoring, Snowflake Resource Monitors, Prometheus, Grafana).
Nice to Have:
• Experience with EdgeDB or graph/relational hybrid databases.
• Familiarity with Kubernetes-based database deployments (StatefulSets, Operators).
• Background in distributed caching (Redis, Memcached).
Shubham Vishwakarma
Full Stack Developer - Averlon
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Department: Upholstery / Furniture Manufacturing
Reports To: Production Manager or Head of Manufacturing
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#Hiring #BusinessDevelopment #StartupJobs #ConstructionInnovation #JoinOurTeam
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Full Stack Developer - Averlon