Sr. Data Engineer
Gruve
About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
About the Role
Are you a skilled Data Engineer passionate about building robust data pipelines that drive business decisions at global scale?
As a Data Engineer, you'll architect and implement the data pipelines, analytics frameworks, and reporting systems that power critical operations.
In this role, you'll leverage your expertise to transform complex financial data into actionable insights that drive marketplace expansion strategies. You'll have the opportunity to pioneer GenAI-powered data solutions that improve analytics efficiency and uncover hidden patterns in the data. Working at the intersection of big data technologies, financial systems, and marketplace economics, you'll solve technical challenges that require both deep data engineering expertise and strong business acumen.
Key Responsibilities
A. Data Architecture & Engineering.
- Design and implement scalable data pipelines that ingest, transform, and deliver fee transaction data across global marketplaces.
- Develop data models that effectively represent complex fee structures, incentives, and adjustments.
- Implement data quality frameworks to ensure accuracy and consistency of financial data
- Create and maintain data catalogs and metadata repositories for fee-related data assets
- Optimize data architecture for performance, scalability, and cost-efficiency
B. Analytics & Reporting
- Build dashboards and visualization solutions for monitoring
- Implement self-service analytics capabilities for business stakeholders
- Support ad-hoc analysis needs with flexible, performant data solutions
C. Innovation & Collaboration
- Collaborate with software engineers to ensure seamless integration between operational and analytical systems
- Work with product managers to translate business requirements into data solutions
- Participate in cross-functional initiatives to drive data-driven decision making
Basic Qualifications
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with PowerBI
- Experience mentoring team members on best practices
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.