Technoidentity
PostgreSQL Expert
Hyderabad, INPresencialPermanenteTiempo completo
Publicado 25 ago 2026
Este empleo está publicado en EN
Supercharge Your Career as a PostgreSQL Expert at Technoidentity!
expertise in building durable digital products, intelligent enterprise solutions, and scalable
Data & AI platforms. As we continue expanding globally, it's the perfect time to join our
team of tech innovators and make a lasting impact.
What’s in it for You?
We are seeking a seasoned PostgreSQL Expert with 8–10 years of experience across multiple
database systems, with deep hands expertise in PostgreSQL internals, performance tuning,
advanced indexing, and enterprise data architecture.
With a strong preference for Oracle to AlloyDB (PostgreSQL) migration expertise, this role
blends modernization, advanced PostgreSQL engineering, and cloud-native architecture on
Google Cloud Platform (GCP). If you thrive in transforming complex data
logic, optimizing performance, and architecting enterprise-grade PostgreSQL systems, this
opportunity is built for you.
Requirements
What Will You Be Doing?
• Lead database migrations from Oracle to PostgreSQL-based platforms like AlloyDB,
applying both manual and automated strategies.
• Re-engineer stored procedures, triggers, and packages from PL/SQL to PL/pgSQL.
• Recreate and optimize DB objects (schemas, constraints, views, indexes) across target
platforms.
• Design PostgreSQL-specific architecture including partitioning strategies, indexing
plans (GIN, GiST, BRIN), and query optimization paths.
• Leverage PostgreSQL internals such as vacuum tuning, WAL configuration, and
connection management for optimal system performance.
• Implement indexing strategies, query plans, and table partitioning to enhance
database performance.
• Use tools like EXPLAIN ANALYZE, pg_stat_statements, and GCP-native monitoring
dashboards for tuning.
• Collaborate with DevOps for deployment pipelines and infrastructure-as-code (IaC)
best practices.
• Perform deep-dive PostgreSQL performance fine-tuning including buffer cache
analysis, autovacuum configuration, and planner optimization.
• Optimize PostgreSQL workloads for high concurrency and large datasets, ensuring
stable and predictable performance.
• Build and execute validation scripts for source-to-target comparison.
• Ensure row-level data accuracy, transformation logic fidelity, and zero data loss postmigration.
• Manage large-scale datasets for archival and bulk processing tasks.
• Implement PostgreSQL-native data integrity strategies like constraint management,
row-level security (RLS), and trigger-based validations.
Collaboration & Documentation
• Work with cross-functional teams to translate business logic and legacy workflows to
scalable, modern database systems.
• Maintain clear documentation on schema conversions, validation methods, rollback
strategies, and change history.
• Create PostgreSQL architecture documents, optimization playbooks, and database
best-practice guidelines for engineering teams
What Makes You the Perfect Fit?
• 8–10 years of database development experience across Oracle, PostgreSQL, and
similar RDBMS platforms.
• Strong expertise in PL/SQL and PL/pgSQL for procedural logic, error handling, and
performance tuning.
• Proven track record of large-scale database migration projects (Oracle to
PostgreSQL/AlloyDB preferred).
• Proficient in query optimization, indexing, partitioning, and schema normalization.
• Familiar with Agile practices, Git-based version control, and CI/CD workflows.
• Hands-on experience with Google Cloud Platform (GCP) for database hosting,
monitoring, and scaling.
• Deep expertise in PostgreSQL internals—query planner, vacuum processes, WAL,
replication, logical decoding, and high-availability strategies.
• Experience designing PostgreSQL architectures including HA, replication, faulttolerance,
and disaster recovery.
Resumen del puesto
Tipo de empleo
Tiempo completo
Habilidades requeridas
PostgreSQL internals (query planner, vacuum, WAL, logical decoding, replication)Oracle to PostgreSQL/AlloyDB migrationPL/pgSQL development and PL/SQL re-engineeringQuery optimization and performance tuning (EXPLAIN ANALYZE, planner optimization, autovacuum, buffer cache analysis)Database architecture design (high-availability, replication, fault tolerance, disaster recovery)Partitioning strategies and implementationAdvanced indexing strategies (GIN, GiST, BRIN)Use of pg_stat_statements and GCP-native monitoring dashboards for tuningGoogle Cloud Platform for database hosting and scaling (AlloyDB/GCP-managed PostgreSQL)Infrastructure-as-Code (IaC) and CI/CD practices for database deploymentsData validation and source-to-target comparison for migrationsData integrity strategies in PostgreSQL (constraints, row-level security, trigger-based validations)Managing large-scale datasets (archival, bulk processing, high concurrency)Git-based version control and Agile collaboration practices
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