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W2- PL/SQL Developer

This role is a W2- PL/SQL Developer for a 6+ month contract, offering competitive pay. Key skills include Oracle PL/SQL, Unix scripting, ETL, and data warehousing. Requires 6+ years in data warehousing, HR and finance data domain experience, and Agile methodologies.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Virginia, United States
🧠 - Skills detailed
#Data Design #Scrum #Triggers #GIT #"ETL (Extract #Transform #Load)" #Automated Testing #Scala #Data Quality #Scripting #MDM (Master Data Management) #SQL (Structured Query Language) #Java #Unit Testing #Leadership #Database Management #RDBMS (Relational Database Management System) #Big Data #Shell Scripting #DevOps #Automation #Computer Science #Documentation #Unix #Oracle #TOAD (Tool for Oracle Application Developers) #API (Application Programming Interface) #Data Management #Security #Migration #Deployment #Informatica #Agile #Debugging #Jira
Role description
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MUST-HAVE:
• Strong Oracle PL/SQL Development experience
• Unix (Operating systems & scripting)
• Data Methodology & Analysis: Understanding data structure, data design, and improving the Oracle DB with a focus on an API type environment rather than pushing files
• Performance tuning
• ETL (Extract, Transform, Load) work
• Datawarehouse experience: NEED to have – primarily what they do
• Informatica
• Prior Bank experience would give candidates a better advantage

SUMMARY:
• 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).

REQUIREMENTS:
• Computer Science/Software Engineering (or related technical) degree or equivalent experience in field
• HR Data Domain experience.
• Finance Data Domain experience (RDR Finance space).
• 6+ year Data Warehousing experience, including manipulation/ transformation of millions of rows with optimal methods
• 6+ year experience with traditional relational database management systems (Oracle) and SQL skills, including developing stored procedures, functions, and triggers in a Big Data environment
• 6+ year SQL PL/SQL development experience with Oracle DBMS and VPD Security.
• 6+ year using TOAD, Unix Shell Scripting, Autosys, Jira, and Microsoft Office Suite (Outlook, Excel, Word, Access)
• Experience in Master Data Management (MDM) concept, tools, and best practices
• Demonstrable risk identification skills
• Working knowledge of Java/ Mulesoft/ APIs
• Enterprise HR (or other highly sensitive) Data Domain experience
• Technology Development experience in Financial Services/Banking Industry
• 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
• Advanced experience in Unix Shell Scripts, Autosys, and TOAD for Oracle
• Advanced-level analytical, debugging, and critical thinking skills.

RESPONSIBILITIES:
• 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 Bank'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