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1–2 jobs· newest first

Oracle PL/SQL DeveloperNew
Bright Vision Technologies · Remote, US
$120K–$180KRemote · Full-time · Senior
Senior Data Engineer (CDAI)
Zensar · Bangalore, India
Senior

+10K new in the last hour

Oracle PL/SQL Developer

Bright Vision Technologies · Posted Nov 11, 2026

Remote, United States
Remote
Full-time · Senior
$120K–$180K per year

6+ years

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We are seeking an experienced Oracle PL/SQL Developer to design, develop, and optimize enterprise database solutions supporting high-volume transactional systems, financial applications, regulatory reporting, and mission-critical business operations.

Compensation

Salary Range: $120,000–$180,000 Annually

Responsibilities

Design, develop, and maintain complex PL/SQL packages, stored procedures, functions, triggers, and database objects supporting enterprise applications.
Develop highly optimized SQL queries for large transactional and analytical databases.
Design scalable database schemas, indexing strategies, partitioning models, and performance optimization techniques.
Build ETL processes and database integration components for enterprise data movement and synchronization.
Develop batch processing jobs and automated database workflows supporting business-critical operations.

Requirements

Nice to have: Oracle Cloud Infrastructure (OCI) Database Services
Nice to have: Autonomous Database
Nice to have: Oracle Exadata
Nice to have: RAC
Nice to have: Data Guard

Skills

Oracle PL/SQL Advanced SQL development Oracle Database 12c Oracle Database 19c Oracle indexing Partitioning Materialized views Execution plans OLTP OLAP Oracle SQL Developer TOAD SQL*Plus ETL processes Oracle Data Pump RMAN Oracle Advanced Queuing (AQ)Oracle Scheduler Java .NET Python REST-based enterprise applications database normalization data modeling relational database design Git Azure DevOps Jenkins CI/CD pipelines Agile Scrum

Benefits

Direct W2

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Senior Data Engineer (CDAI)

Zensar · Posted Nov 6, 2026

Bangalore, Karnataka, India
Senior

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Senior Data Engineer responsible for designing, building, and optimizing enterprise-scale data pipelines and data products for AI agent consumption.

Responsibilities

Design and build enterprise-scale data pipelines
Optimize data architecture for performance and scalability
Develop and maintain data products for AI agent access
Evaluate and redesign data processing workflows
Implement data governance and metadata management

Skills

Starburst/Trino distributed SQL Apache Spark Scala Python/PySpark RDBMS Apache Iceberg NiFi Kafka data modeling query optimization

materialized views

automated testing

infrastructure automation

production support

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