Senior Oracle Data Engineer
HPTech Inc.
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Job Details
Skills
- Oracle
- Data Engineering
- Data Integration
- Data Warehouse
- CA Workload Automation AE
- Extract, Transform, Load
- Business Intelligence
- BMC Control-M
- Cloud Computing
- GitHub
- Informatica PowerCenter
- Modeling
- OBIEE
- PL/SQL
- Performance Tuning
- Python
- Relational Databases
- Scripting
- Stored Procedures
- Supply Chain Management
- Unix
- SQL
- Scheduling
Summary
Senior Oracle Data Engineer
Westlake, TX
• Expert-level knowledge of writing complex SQL queries using Oracle.
• Expert-level knowledge of Oracle PL/SQL (Stored Procedures, Functions, packages, triggers)
• Strong working experience in ETL tools like Informatica (Power Center)
• Working experience in scripting and automation using Unix, Python in a Data Engineering environment.
• Extensive experience with Relational Databases like Oracle including being able to implement performance tuning techniques
• Strong working knowledge of Datawarehousing patterns and Dimensional Modelling techniques using Oracle.
• Experience building scalable patterns for data integration in a cloud-based as well as on-prem environments
• Working knowledge of Batch scheduling tools like Control-M, Autosys.
• Experience with business intelligence and analytics tools such as OBIEE/OAS
• Working experience using GitHUB for Source Code Management (SCM) in a Data Engineering Practice.
- Dice Id: 91162806
- Position Id: 9032283
- Posted 4 hours ago
Company Info
About HPTech Inc.
HPTech Inc has grown to become a premier provider of IT consulting services for technology. With a specialized niche in transaction and data warehousing applications, HPTech Inc helps clients implement mission-critical, enterprise solutions, speed conversion from legacy environments, and optimize the benefits inherent in their systems. Our consulting solutions range from project strategy and planning, software assessment and selection, to implementation and integration, hosting and change management, support and maintenance translating to higher productivity, lower costs.
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