Data Engineer

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Dealer Tire

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automotive • tires • maintenance • distribution • program management

1001 - 5000

💰 $157.9M Private Equity Round on 2009-09

Description

• Collaborate with business and IT teams to implement a comprehensive and easily expandable Enterprise Data Model based on business need. • Be a thought leader on future data usage (Data Futurist) and a catalyst for converting data into a knowledge base. • Contribute, build, and participate in the design and enhancement of our enterprise data model, enterprise analytics systems, data marts, and data warehouse/data lake. • Build robust, scalable, and high-performing ETL/ELT solutions involving structured & unstructured data. • Leverage appropriate design patterns for the problem being solved, such as near-real-time/change data capture, batch processing, streaming data, etc. • Collaborate with internal and external customers, our affiliates, and other IT teams to define and implement a roadmap for the enterprise data model and the systems that support it. • Participate in design reviews to foster team accountability and maintain a high standard of quality. • Evangelize and democratize our data assets and empower users with self-service tools and training to enable them to leverage those assets effectively. • Engage with multiple concurrent projects both within your team and with other teams. • Articulate ideas and architectural concepts clearly and concisely through verbal and written communication. • Monitor and measure system and process performance and make corrections and enhancements where needed as part of a focus on continual improvement. • Provide on-call/after-hours support for processes and systems owned by the team on a rotating basis. • Other Duties as Assigned

Requirements

• 3-5 years of experience in a Data Engineer or comparable role is required. • Strong skills in querying databases (t-SQL, PL-SQL, etc.), data modeling, data engineering, and data reverse engineering skills are required. • Strong verbal and written communication skills are required. • Ability to work cross-functionally in a fast-paced, high growth environment and manage multiple concurrent workstreams and priorities is a must. • A bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field is a plus. • Experience with technologies like SAP Data Integrator, Syniti Data Replication, Microsoft SQL Server, SQL Server Integration Services (SSIS), among others is a plus. • Experience performing root cause analysis on datasets and processes to answer specific business questions, identify opportunities for improvement, or resolve system or process issues is a plus. • General expertise in enterprise IT architecture (databases, ERP, middleware, UI, networking, infrastructure) is a plus. • Experience implementing high availability (HA) and disaster recovery (DR) solutions is a plus.

Benefits

• Paid time off • Medical • Dental • Vision • 401k match (50% on the dollar up to 7% of employee contribution)