Cloud Data Engineer, Business Intelligence

Cloud Data Engineer, Business Intelligence page is loaded## Cloud Data Engineer, Business Intelligence locations:
OH-Cincinnatitime type:
Full time posted on:
Posted 2 Days Agojob requisition :
R0001271

Fueled by a fundamental belief in innovation, Resurgent Capital Services is an industry-leading financial services company in our sector. It all began 25 years ago when a small group of successful entrepreneurs had a vision for a new type of asset receivables company. One with a commitment to superior service and a personal touch with every interaction. We believe that demonstrating integrity in everything we do, maintaining a strong commitment to compliance, and doing things the right way is a sustainable business model.

We want you to feel like your work has an impact and makes a difference every day. Join us as we develop strategies for change and transform the trajectory of your career!
** Summary
* * As a
** Cloud Data Engineer**, you will be a key architect of our data ecosystem. You’ll own the full software development lifecycle—from initial design and coding to integration testing and deployment. In this role, you aren’t just maintaining systems; you are building innovative data applications that empower our organization. We value autonomy and judgment, looking for a professional with
** 5+ years of experience
** who is ready to turn complex data challenges into high-performance production solutions. This position will report to the Vice President of Enterprise Data Engineering.
** Roles & Responsibilities**
* ** Architect Impact:
** Design and develop custom data warehouse solutions that serve as the backbone for executive leadership and data science teams, enabling high-stakes, data-driven decision-making.
* ** Collaborate Across Domains:
** Partner closely with business analysts, developers, and data scientists to build seamless, user-centric data solutions.
* ** Cloud-Scale ML and AI Delivery:
** Transform data science prototypes into scalable, reliable production ML and AI solutions.
* ** Optimize Performance:
** Fine-tune and product ionize data integration pipelines to ensure maximum efficiency and reliability.
* ** Build Resilient Systems:
** Develop proactive "smoke detector" monitoring tools to track and maintain the health of our data ecosystem.
* ** Lead Project Strategy:
** Take ownership of work estimates, technical roadmaps, and implementation plans.
* ** Stay Ahead of the Curve:
** Research and integrate emerging technologies, products, and development processes to keep our stack competitive.
* ** Agile Teamwork:
** Thrive in an agile environment, following best practices and clean coding standards.
* ** Invest in Growth:
** Actively grow your personal technical skillset while mentoring others to elevate the entire team.
** Skills & Qualifications**
* *
* Experience:

** 5+ years of hands-on experience in data engineering.
* ** SQL Mastery:
** Strong experience designing data warehouse solutions with expert-level SQL knowledge.
* ** Data Architecture:
** Deep understanding of databases, data structures, and complex data manipulation.
* ** Pipeline Engineering:
** Proven ability to create sophisticated data models and end-to-end pipelines for data acquisition, cleansing, and integration.
* ** The Tech Stack:
** Deep experience with
** Microsoft SQL Server
** and proficiency with
** Databricks**.
* ** Coding:
** Proficiency in
** C# and/or Python**.
* ** Modern

Infrastructure:
** Familiarity with distributed architecture is a significant plus.
* ** Collaborative Mindset:
** A track record of success in team-oriented, collaborative environments.
* ** Communication:
** Strong interpersonal skills with a focus on delivering excellent support to internal customers.
* ** Problem Solver:
** Exceptional analytical skills and a passion for tackling complex technical puzzles.
* ** Full Lifecycle Knowledge:
** Comprehensive understanding of the SDLC, including source control and lifecycle management tools.
** Additional Preferred Skills**
* ** Azure Ecosystem:
** Experience with Azure Analytics, Databases, Storage, and AI/Machine Learning services.
* ** ETL Tools:
** Experience with SSIS or equivalent enterprise ETL tools.
* **…