Full Job Description

Job Description: Must Have:

Proficiency in SQL
Good knowledge of Master Data Management (MDM)
Data Analysis and Data Validation
ETL Design, Development, and Optimization
Data Integration and Data Quality Management
Business Intelligence and Reporting
Strong Analytical and Problem-Solving Skills
Excellent Communication and Stakeholder Management Skills

Responsibilities: Key Responsibilities

Analyze business and data requirements and translate them into actionable insights.
Develop, enhance, and optimize ETL processes for data integration and transformation.
Perform data analysis to support business intelligence, reporting, and analytics initiatives.
Ensure data quality, accuracy, and consistency across multiple data sources.
Collaborate with business stakeholders and technical teams to identify data-driven solutions.
Support data validation, reconciliation, and troubleshooting activities.
Identify risks, data issues, and opportunities to improve data management processes.
Create and maintain documentation related to data flows, mappings, and business rules.

Qualifications: Graduate in Computer Science, or related field. 0-2 years of experience in data engineering or related field.

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Note: We are open to sponsor visa for the right candidate.