Lead Database Developer

5 days ago


hyderabad, India beBeeDatabase Full time

Job Description:This is a full-time on-site role for a Database Lead based in Hyderabad. The Database Lead will be responsible for managing, designing, and optimizing databases, ensuring their availability, performance, and scalability.Day-to-day responsibilities include database administration, designing database structures, creating data models, and analyzing system performance to enhance operations.The role will involve collaborating with cross-functional teams to align database systems with organizational objectives.We are seeking an experienced Database Lead who will drive the design, development, and implementation of our database architecture.This is an exciting opportunity to join our team and contribute to the growth and success of our organization.Key Responsibilities:Design scalable database architectures, schemas, and data models for transactional & analytical workloads.Develop & optimize complex stored procedures, UDFs, triggers, and queries.Perform performance tuning, indexing, partitioning, sharding, and query plan optimization.Implement replication, migration, and backup/restore strategies across environments.Manage deployment scripts, versioning (Flyway/Liquibase), and CI/CD pipelines.Utilize advanced PostgreSQL features – logical/streaming replication, JSONB, full-text search, materialized views, CTEs, and PL/pgSQL tuning.Collaborate with backend teams (.NET / Node.js) to optimize database access and ORM performance.Review database code, set best practices, and mentor developers.Requirements:Skills & Experience:5-10 years in database development, with 5+ years in PostgreSQL (advanced concepts).Proven in data modeling, architecture, debugging, and performance optimization.Strong knowledge of partitioning, replication, sharding, and parallel queries.Hands-on with CI/CD (Git/Jenkins/Azure DevOps) and cloud databases (AWS RDS / Aurora).Excellent problem-solving and documentation skills.Nice to Have:Exposure to ETL pipelines, PostgreSQL extensions (pg_partman, PostGIS), or Kubernetes-based deployments.


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