Senior Data Engineer - Credit Data ytics

Senior Data Engineer Credit Data ytics

HIGHLIGHTS
Location: Hy brid

• Charlotte NC US
• Dallas TX US
• East Hartford CT US
• Providence RI US
• Stamford CT US
• Wilmington DE US

Position Type: Direct
Hourly / Salary: Based on Experience
Residency Status: US Citizen or Green Card Holder ONLY


Our client is looking for a Senior Data Engineer Credit Data ytics to join their team!

Job Description:

This job is responsible for driving data engineering efforts to deliver enterprisewide capabilities and complex data solutions. Key responsibilities include directing code design and delivery tasks ociated with the integration cleaning transformation and control of data in operational and ytical data systems and working with the Project Management team to define outcomes and inform work structures. Job expectations include providing technical thought leadership by implementing complex data solutions and interactions across multiple systems and domains.

Responsibilities:

The Corporate Audit and Credit Review (CACR) ytics & automation team delivers datadriven riskbased insights and automation solutions to the CACR organization. The Senior Data Engineer role will be responsible for developing and implement a range of ytics and automation solutions including data extraction ysis reporting and dashboard design but could include more advanced ytics including statistical ysis text mining & NLP and modeling/machine learning/AI. This role demands interaction with highly experienced audit and/or credit professionals data experts and technology. Intellectual curiosity will drive critical thinking to produce optimal solutions. Strong time management coordination communication and presentation ss are a must in this role.

• embles large complex data sets that meet functional and nonfunctional requirements ensuring that the design and engineering approach is consistent across multiple systems
• Maintains improves cleans and manipulates large data for operational and ytics data systems builds complex processes supporting data transformation data structures metadata data quality controls dependency and workload management and communicates required information for deployment maintenance and support of business functionality
• Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement
• Defines and builds data pipelines to enable datainformed decision making ensuring adherence to release processes and risk management routines
• Contributes to existing test suites including integration regression and performance yzes test reports identifies any test issues and errors and leads triage of underlying causes
• Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps leading concept testing and conducting research to prototype toolsets and improve existing processes
• Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls
• Utilizes sound seasoned ytical ss to independently develop ytics & automated testing solutions using a variety of tools (Alteryx Tableau etc.) and programming languages (SQL SAS Python etc.)
• Supports the design and of new ytics automated testing tools and models
• Responsible for multiple projects simultaneously ensuring each one is completed on time and efficiently with a high standard of work
• Coordinates schedules scopes and leads large crossfunctional ytics & automation activities
• Exercises judgment critical thinking and sound communication ss to influence business partners
• Coaches/trains junior team members in of ytics and automation activities

• Diversity & Inclusion Champion: Models an inclusive environment for employees and clients aligned to company D&I goals.
• Manager of Process & Data: Demonstrates deep process knowledge operational excellence and innovation through a focus on simplicity data based decision making and continuous improvement.
• Enterprise Advocate & Communicator: Communicates enterprise decisions purpose and results and connects to team strategy priorities and contributions.
• Risk Manager: Ensures proper risk discipline controls and culture are in place to identify escalate and debate issues.
• People Manager & Coach: Provides inspection coaching and feedback to motivate differentiate and improve performance.
• Financial Steward: Actively manages expenses and budgets in alignment with objectives making sound financial decisions.
• Enterprise Talent Leader: esses talent and builds bench strength for roles across the organization.
• Driver of Business Outcomes: Delivers results by effectively prioritizing inspecting and appropriately delegating team work.

• ytical Thinking
• Application Development
• Data Management
• Risk Management
• Solution Design
• Agile Practices
• Architecture
• Collaboration
• Decision Making
• DevOps Practices
• Business Aen
• Data Quality Management
• Financial Management
• Solution Delivery Process
• Test Engineering

• Intermediate to advanced knowledge of one or more of the following: SQL SAS Alteryx Python Tableau or related tools
• Advanced ss in Microsoft Excel
• Advanced ytic ss that demonstrate the ability to navigate systems access data reconcile numbers from different sources identify discrepancies and trends and understand drivers of changes within data
• Strong track record of implementing automated solutions related to data & ytics including the ability to extract organize and present the data in userfriendly reports dashboards or tools
• Ability to work both independently or in teams on multiple projects simultaneously to deliver timely and complete solutions under minimal supervision
• Strong written and oral communication ss with ability to communicate with both technical and executive audience

• Experience with one or more of the following a plus: model development machine learning / artificial intelligence and data science
• Experience with one or more of the following a plus: DataRobot Inase and UIPath

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