Oracle Applications Labs
(OAL) runs the Oracle software that runs Oracle. OAL is responsible for
implementing, running, and improving nearly all of Oracle's Enterprise
Applications\: CRM, HCM, Financials, SCM, you name it. We use Oracle's own
real-life business requirements as a "test bed" for innovation. We
often race out ahead of standard product and build extensions and custom
applications to meet the needs of our 135,000-employee, Fortune 100 company.
Once proven, our ideas and innovations quickly find their way back into core
product. We also ensure that Oracle is always Oracle’s best reference for our
enterprise applications, and provide the field-facing demo scripts, systems,
and know-how to Oracle's sales force.
We are currently looking
for an experienced data engineer to join our OAL technology team and use the
latest technologies to evolve and improve the way data is moved, transformed,
analyzed and managed in Oracle's internal systems.
Required Qualifications\:
- BS
or MS degree in computer science, or equivalent
- Software
Tools\: Oracle Database, Oracle Data Integrator
- Software
Languages\: Java / Groovy, Python, SQL
- Experience
with the following types of projects\:
- ETL
/ Data Engineering / Data Pipelines
Skills/Experience\:
- Able
to communicate difficult problems and complex solutions clearly and
effectively
- Excellent
analytic and problem solving ability
- Ability
to thrive within a globally distributed engineering team
- Able
to collaborate in a team of technical experts and ability to teach/mentor
others
- Self
motivated with ability to prioritize and multi-task
Technical Experience
(any of the following would be an advantage)\:
- Oracle Golden Gate
- Oracle PL/SQL
- Oracle Apex
- Spark, Flink, Hive, Impala, Kudu
- Gradle
- Terraform,
Ansible, Chef or Puppet
- Kubernetes,
Docker
- Kibana,
Logstash, Elastic Search
Detailed Job Description
Oracle Application Labs
(OAL) are looking for a developer to join the BI Architecture team to develop,
support and operate the data replication and integration applications, platform
and tools for Oracle's internal systems and cloud data warehouse. This person
will work as part of a global group contributing to all areas of the software
delivery cycle from conception, design and implementation of new functional or
technical features through to production support, monitoring and scale-out.
Key responsibilities
will be\:
- Continuous
Improvement of OAL’s data applications, platform and tools, including
- Using
Oracle’s Cloud platform and services at scale, e.g. Autonomous Data
Warehouse, Oracle Object Store
- Improving
build, test and deployment automation
- Improving
monitoring and alerting
- Contributing
proposals for new platform features
- Production
Operations of data engineering processes and pipelines
- Assisting
OAL operations team with bug triage and maintenance
- Performance,
Scalability and Reliability engineering
- Application
Development support
- Advising
and assisting OAL and other analytics application development teams in
using the data platform and tools
- Creating development standards and guidelines and tests to maintain code quality
As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex enhancements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure quality and consistency across specific products.
Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.
As part of Oracle's employment process candidates will be required to successfully complete a pre-employment screening process. This will involve identity and employment verification, professional references, education verification and professional qualifications and memberships (if applicable).!|!
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