Senior ETL Engineer

December 3, 2024

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Logo of Solera Holdings, LLC.

Solera Holdings, LLC.

Solera Holdings, LLC. is a company that specializes in providing data-driven fleet and vehicle lifecycle management solutions. The company offers a comprehensive suite of products and services aimed at optimizing fleet operations, enhancing vehicle repair accuracy, and streamlining vehicle claims and titling processes using data and AI technologies. Solera prides itself on its deep relationships with Original Equipment Manufacturers (OEMs) and leverages over extensive repair orders to aid in vehicle repair. Its solutions are designed to improve efficiency, performance, and customer satisfaction across the vehicle lifecycle, from purchase to repair and salvage.

5001 - 10000 employees

Founded 2005

☁️ SaaS

📋 Description

• Design, develop, and maintain ETL pipelines using industry-standard tools and technologies. • Collaborate with data analysts and architects to understand data requirements and translate them into scalable ETL solutions. • Optimize existing ETL workflows for performance and reliability, ensuring data quality and integrity. • Implement data validation and cleansing techniques to ensure high-quality datasets for analytics. • Monitor and troubleshoot ETL processes, addressing issues and optimizing for resource management. • Contribute to data modeling efforts, ensuring compatibility with ETL processes and reporting needs. • Develop and maintain documentation for ETL processes, configurations, and data mappings. • Provide support for data governance initiatives and compliance with data management standards. • Engage in continuous improvement efforts to enhance data processing capabilities and contribute insights on emerging technologies.

🎯 Requirements

• 5+ years of experience in ETL development and data integration. • Proven experience with ETL tools such as Talend, Informatica, or Microsoft SSIS. • Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL). • Knowledge of data warehousing principles and best practices. • Experience with cloud data platforms (e.g., AWS, Azure) is a plus. • Familiarity with programming languages such as Python or Java for data manipulation. • Excellent problem-solving skills and a keen attention to detail. • Strong communication skills and ability to work collaboratively in a team environment. • Intellectual curiosity and a proactive approach to keeping up with industry trends and technologies. • Self-motivated and capable of managing multiple tasks effectively.

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