Description
Join a leading staffing agency dedicated to connecting top-notch professionals with the right job opportunities. We are looking for a Remote/Hybrid Senior Data Engineer focused on Credit Data Analytics to drive data engineering efforts by delivering enterprise-wide capabilities and complex data solutions. In this dynamic role, you will provide technical thought leadership while working collaboratively with the Project Management team to define outcomes and inform work structures.
Responsibilities
- Lead the development and implementation of analytics and automation solutions, including data extraction, analysis, and reporting.
- Assemble large, complex data sets that meet functional and non-functional requirements.
- Maintain, improve, clean, and manipulate large data for operational and analytics data systems.
- Utilize architectural components in the design and collaborate with development teams to meet data requirements.
- Define and build data pipelines to enable informed decision-making.
- Contribute to test suites, analyze test results, and lead triage of issues.
- Mentor junior Data Engineers and support continuous integration and delivery.
- Independently develop analytics and automated testing solutions using a variety of tools and programming languages.
- Coordinate large, cross-functional analytics and automation activities, ensuring timely and efficient completion of multiple projects.
- Coach junior team members in analytics and automation activities.
Managerial Responsibilities
This role may include responsibilities for managing associates, including:
- Promoting diversity and inclusion aligned with company goals.
- Demonstrating process knowledge and operational excellence.
- Communicating enterprise decisions and connecting team strategies.
- Overseeing risk management and promoting a proper controls culture.
- Providing coaching and feedback to motivate team performance.
- Actively managing budgets and making sound financial decisions.
- Assessing talent and building bench strength across the organization.
- Delivering results by effectively prioritizing and delegating tasks.
Skills
- Analytical Thinking
- Application Development
- Data Management
- Risk Management
- Solution Design
- Agile Practices
- Collaboration
- Decision Making
- DevOps Practices
- Business Acumen
Required Skills
- Intermediate to advanced knowledge of SQL, SAS, Alteryx, Python, Tableau, or related tools.
- Advanced skills in Microsoft Excel.
- Strong analytic skills with the ability to navigate systems and reconcile data.
- Proven track record in implementing automated solutions for data and analytics.
- Ability to work independently or in teams, managing multiple projects simultaneously.
- Excellent written and oral communication skills for both technical and executive audiences.
Desired Skills
- Experience in model development, machine learning, or data science.
- Familiarity with DataRobot, Instabase, or UIPath is a plus.
Employment Type: Full-Time