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Application Programmer V (Closed)

SkillStorm is seeking an Oracle Developer for our client in Pennington, New Jersey. Candidates must be able to work on SkillStorm's W2; not a C2C position. EOE, including disability/vets.

Description:

• Oracle Developer

Position Summary:

• Our organization is looking for a top-tier, senior-level Oracle Developer to join our team as a team lead. The selected individual will be responsible for mentoring and providing technical direction to a team of mostly offshore developers in the delivery of technology solutions to our HR business partners.
• The Feature Lead ensures the systems design and requirements are aligned to achieve the desired business outcomes, and that team practices and coding/quality principles are aligned to achieve the desired technology outcomes. This individual will lead feature delivery including developing complex ETL/models in data warehousing environment, involving technical design, development, testing, and migration of Oracle objects (spanning FTE, head count, Leadership reporting).
• He/She must demonstrate excellent communication skills and critical thinking to ensure all assumptions, constraints, behaviors are well thought through. This is an individual contributor role who is also a team mentor, at times representing the team in status meetings and works with the Technology Manager to address skills' gaps and opportunities for improvement in team structure.
• Responsibilities include (but are not limited to):
• Participate in status meetings to track progress, resolve issues, articulate & mitigate risks and escalate concerns in a timely manner.
• Exemplifies and evangelizes great solution delivery management by minimizing technical debt, surpasses design, engineering, & organizational practices (unit testing, release procedures, coding design and documentation protocols), coding and quality, and exceeds security standards and Client's change management requirements
• Demonstrates the development and implementation of enterprise data quality standards and data protection standards within the space
• sets the bar for team communications and interactions - is an excellent teammate to peers, influencing them in a positive direction
• Acts as a liaison for production activities/issues. Mentors the team on work breakdown and execution
• Oversees continuous improvement of database scalability & performance
• uses versioning tools such as GIT/Bit bucket
• sets up jobs using autosys for automation
• Advocates and advances modern application development & deployment – Agile solution delivery, Automated Testing, Continuous Integration, Continuous Delivery
• identifies data anomalies/data patterns in huge data sets

Required Skills:

• HR Domain experience.
• 10+ years Data Warehousing experience, including manipulation/ transformation of millions of rows with optimal methods
• 6+ years experience with traditional relational database management systems (Oracle) and SQL skills, including developing stored procedures, functions, and triggers in a Big Data environment
• 6+ years SQL & PL/SQL development experience with Oracle DBMS and VPD Security.
• Advanced-level analytical, debugging, and critical thinking skills.
• 6+ years using TOAD, Unix Shell Scripting, Autosys, Jira, and Microsoft Office Suite (Excel, Word, Access)
• Experience in Master Data Management (MDM) concept, tools, and best practices
• Demonstrable risk identification skills

Desired Skills:

• Computer Science/Software Engineering (or related technical) degree or equivalent experience in field
• Enterprise HR (or other highly sensitive) Data Domain experience
• Technology Development experience in Financial Services/Banking Industry
• Advanced experience in Unix Shell Scripts, Autosys, and TOAD for Oracle
• Working knowledge of Java/ Mulesoft/ APIs
• Working knowledge of Machine learning, Artificial Intelligence, and other Big Data Analytics technologies
• Experience in Agile Scrum, DevOps, SAFe or Disciplined Agile ways of working & CI/CD Release Processes
• Expert in data regulation and exercises best practices in data management and governance

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