UniData/ UniVerse Data Engineer
This role involves developing and maintaining commission and incentive processing systems for the direct-selling industry using Rocket U2 (UniData/Universe) technologies. The engineer will manage complex business rules, distributor hierarchies, and high-volume transactional data to ensure accurate payout calculations.
- Compensation
- Not disclosed
- Location
- Karnataka, Bengaluru, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 8+ years of experience in UniData / Universe development and data engineering
- Hands-on experience with UniBasic / UniQuery and UniData or Universe databases
- Proven experience in the direct-selling, MLM, network-marketing, or distributor-based business domain
- Strong experience working with commission-processing, compensation, incentive, or payout systems
- Understanding of distributor hierarchies, sales volume, qualifications, ranks, bonuses, and compensation plans
- Strong SQL and relational database skills
- Experience with data integration, ETL/ELT, batch processing, and data reconciliation
- Strong analytical and problem-solving skills
- Experience supporting production systems and resolving data/commission discrepancies
- Ability to understand complex business rules and convert them into reliable technical solutions
Nice to have
- Experience with Rocket U2 / Rocket UniData / Universe environments
- Experience migrating or integrating UniData / Universe with modern cloud or relational data platforms
- Experience with APIs, web services, or middleware integrations
- Experience with Python, scripting, or other modern data-engineering technologies
- Experience with reporting and BI platforms
- Knowledge of financial reconciliation, audit controls, and payout processing
- Experience working in Agile/Scrum environments
Full description
Position Overview
We are seeking an experienced UniData / Universe Data Engineer with strong experience in the direct-selling / MLM industry, particularly with commission-processing and incentive systems.
The ideal candidate will have hands-on experience working with Rocket U2 (UniData/Universe) environments, complex business rules, commission calculations, distributor/member hierarchies, and high-volume transactional data. This role will be responsible for developing, maintaining, optimizing, and supporting data solutions that power commission and incentive processing.
**Key Responsibilities
**● Design, develop, maintain, and optimize applications and data processes using UniData / Universe.
● Work closely with business and functional teams to understand direct-selling compensation plans and translate requirements into technical solutions.
● Develop and maintain commission-processing logic, including:
● Sales and order-based commissions
● Bonuses and incentives
● Rank-based compensation
● Volume calculations
● Qualification rules
● Overrides and residual commissions
● Adjustments, reversals, and clawbacks
● Period-end commission processing
● Work with distributor/member hierarchies, genealogy structures, sponsor relationships, and organizational trees.
● Develop and optimize UniQuery, UniBasic, dictionaries, stored procedures, and batch processes.
● Perform data extraction, transformation, validation, reconciliation, and loading across operational and reporting systems.
● Troubleshoot commission-processing issues and investigate discrepancies between source transactions and calculated payouts.
● Support month-end/pay-period commission runs and ensure accurate and timely processing.
● Develop reconciliation and audit processes to validate commission calculations and financial outputs.
● Analyze and improve performance of large UniData / Universe files and batch processes.
● Integrate UniData / Universe data with external applications, databases, APIs, reporting platforms, and downstream systems.
● Participate in production support, root-cause analysis, incident resolution, and performance tuning.
● Maintain technical documentation for data structures, compensation rules, interfaces, and processing workflows.
● Collaborate with QA teams to develop test scenarios covering complex compensation-plan rules and edge cases.