Job Description:This job is responsible for driving efforts to develop and deliver complex data solutions to accomplish technology and business goals. Key responsibilities include leading code design and delivery tasks with the integration, cleaning, transformation and control of data in operational and analytical data systems. Job expectations include liaising with vendors and working with stakeholders and Product and Software Engineering teams to implement data requirements, analyzing performance, and researching and troubleshooting issues within system engineering domains.
Responsibilities:- 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 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 postive 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
Skills:- Analytical Thinking
- Application Development
- Data Management
- DevOps Practices
- Solution Design
- Agile Practices
- Collaboration
- Decision Making
- Risk Management
- Test Engineering
Required Skills:
• HR Data Domain experience.
• Finance Data Domain experience (RDR Finance space).
• 6+ 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 (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
Shift:1st shift (United States of America)
Hours Per Week: 40
