#JR-25025390
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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:
Leads story refinement and delivery of requirements through the delivery lifecycle and assists team members in resolving technical complexities
Codes complex solutions to integrate, clean, transform, and control data, builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, assembles complex data sets, and communicates required information for deployment
Leads documentation of system requirements, collaborates with development teams to understand data requirements and feasibility, and leverages architectural components to develop client requirements
Leads testing teams to develop test plans, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and leads triage of underlying causes
Leads work efforts with technology partners and stakeholders to close gaps in data management standards adherence, negotiates paths forward by thinking outside the box to identify and communicate solutions to complex problems, and leverages knowledge of information systems, techniques, and processes
Leads complex information technology projects to ensure on-time delivery and adherence to release processes and risk management and defines and builds data pipelines to enable data-informed decision making
Mentors Data Engineers to enable continuous development and monitors key performance indicators and internal controls
Position Summary:
The Authentication Technology Team who supports the Omni channel customer identification and authentication platform is in search of a Database Engineer III, responsible for data solutions and platform stability across a large and complicated database ecosystem.
Additional Responsibilities:
Collaborate with architects and development teams to understand data requirements, design new tables/queries and ensure the design is feasible, implemented accurately and compliant with all the bank standards.
Work with more senior Data Engineers on the team, DevOps and release time to support database deployment using established CI-CD practices and automation tool stack.
Document and communicate required information for deployment, maintenance, support, and business functionality.
Adhere to team delivery/release process and cadence pertaining to code deployment and release.
Identify gaps in data management standards adherence, and work with appropriate partners to develop plans to close gaps.
Monitor key performance indicators, internal controls and data quality.
Utilize Oracle tools such as explain plans and OEM [Oracle Enterprise Manager] for performance tuning.
Required Qualifications:
5+ years' experience as an engineer with Oracle database skills and SQL background
Strong command of Oracle PLSQL coding and Oracle functions, along with solid understanding of Oracle security features such as database roles and user access, OEM (Oracle Enterprise Manager), and query explain plan
Understand Oracle partitioning, Oracle Goldengate replication technology, and version 19c features
Experience in data management, relational data models and OLTP best practices and development models such as Agile and SDLC
Must be comfortable working on a distributed, multi-time zone team and handle multiple tasks in a constantly changing environment
Possess strong verbal and written communication skills, along with some Project Management background
Willingness to learn both new and established database technologies as needed
Desired Qualifications
Distributed database knowledge
Basic understanding of networking topology
Prior experience supporting databases inside a DMZ
Experience with 3rd party monitoring tools and other database technologies including MSSQL, Cassandra, MongoDB and Cockroach etc.
Skills:
Analytical Thinking
Application Development
Data Management
DevOps Practices
Solution Design
Agile Practices
Collaboration
Decision Making
Risk Management
Test Engineering
Architecture
Business Acumen
Data Quality Management
Solution Delivery Process
Shift:
1st shift (United States of America)
Hours Per Week:
40
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