A Better Future for Surplus

Data Warehouse Engineer

Company Overview

 

Every organization has surplus – assets or inventory no longer required. Liquidity Services (NASDAQ: LQDT) works with clients to ensure surplus is intelligently transformed from a burden into a liquid opportunity that fuels the achievement of strategic goals. Our superior service, unmatched scale, and ability to deliver results enable us to forge trusted, long-term relationships with over 8,000 clients, including Fortune 1000 and Global 500 organizations as well as government agencies. With $6 billion in completed transactions, nearly 3 million registered buyers, and reach into almost 200 countries and territories, we are the proven market leader in delivering smart surplus solutions.

 

Liquidity Services operates in an entrepreneurial, collaborative, and vibrant workplace. We’re looking for team members who enjoy working in a fast-paced, relaxed environment – a place where you'll be challenged and empowered to perform. Our core values – which include integrity, customer focus, relentless improvement, innovation to support leadership, and mutual trust and accountability – drive our individual and corporate success.

 

General Overview

 

This role acts as subject matter expert on data warehousing and reporting and is responsible to lead the analysis, design, development, implementation and support of the Enterprise Data Warehouse and key reporting deliverables. The ideal candidate will have a strong understanding of SSRS, SSAS, and dimensional modeling to use this data to create software applications that present data through reports, dashboards, scorecards, and KPI’s.

 

Responsibilities

 

• Develop, enhance, test and integrate ETL Data Warehouses and Business Intelligence Solutions
• Deploy and maintain DWH/ETL solutions and operations
• Develop SSIS packages for ETL
• Write SQL Server stored procedures for reporting
• Contribute to the full software development lifecycle including design, development, documentation, testing and deployment
• Work closely with the business on requirements and functional specifications for Data projects
• Support product issue resolution teams with engineering support to determine root cause and corrective action concerning device connectivity issues at connected accounts

 

Qualifications

 

• 5+ years of experience developing SQL Server databases
• 5+ years data warehousing and OLTP design/development, knowledge of patterns/practices
• Bachelor’s degree in Computer Science, Software Engineering or a related discipline
• Experience developing dimensional models, especially using the Kimball method
• Experience creating and deploying SSIS packages
• Experience with Microsoft SQL Server database architecture, defining tablespaces, partitioning, indexing, etc.
• Experience with T-SQL w/ focus on performance optimization for both ETL and queries
• Advanced knowledge of SQL Server Reporting Services (SSRS)
• Experience working with large enterprise databases and datasets
• Knowledge of software architecture, design patterns, and best practices
Bonus Requirements:
• Windows Server, IIS, DevOps
• Microsoft Azure or other Cloud platform experience
• Experience working with large databases / Big Data
• Microsoft or other professional certifications is a plus
• SQL Server DBA experience is desired
• MySQL and/or Oracle database knowledge is a plus

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