Data Engineer

3 weeks ago


Remote, Oregon, United States Dealer Tire LLC Full time
About Dealer Tire

Dealer Tire is a family-owned, international distributor of tires and parts established in 1918 in Cleveland, OH. We're laser focused on helping the world's largest and most trusted auto manufacturers grow their tire business—in fact, we've sold more than 60 million tires to date. We're a thriving company, and we're looking for driven individuals to join our team.

Job Summary

We're seeking a highly skilled Data Engineer to join our team of innovative data professionals. As a Data Engineer at Dealer Tire, you will be part of a highly skilled team responsible for designing and implementing our enterprise data lake, data model, and the ETL/ELT pipelines that feed our business and analytical systems.

Key Responsibilities
  1. Collaborate with business and IT teams to implement a comprehensive and easily expandable Enterprise Data Model based on business need.
  2. Be a thought leader on future data usage and a catalyst for converting data into a knowledge base.
  3. Contribute, build, and participate in the design and enhancement of our enterprise data model, enterprise analytics systems, data marts, and data warehouse/data lake.
  4. Build robust, scalable, and high-performing ETL/ELT solutions involving structured & unstructured data.
  5. Leverage appropriate design patterns for the problem being solved, such as near-real-time/change data capture, batch processing, streaming data, etc.
  6. 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, including the maintenance of consistent data entity and element definitions across multiple environments.
  7. Participate in design reviews to foster team accountability and maintain a high standard of quality.
  8. Evangelize and democratize our data assets and empower users with self-service tools and training to enable them to leverage those assets effectively.
  9. Engage with multiple concurrent projects both within your team and with other teams.
  10. Articulate ideas and architectural concepts clearly and concisely through verbal and written communication.
  11. Monitor and measure system and process performance and make corrections and enhancements where needed as part of a focus on continual improvement.
  12. Provide on-call/after-hours support for processes and systems owned by the team on a rotating basis.
Requirements
  1. 3-5 years of experience in a Data Engineer or comparable role is required.
  2. Strong skills in querying databases (t-SQL, PL-SQL, etc.), data modeling (including data warehouse design concepts such as star schema design, etc.), data engineering, and data reverse engineering skills are required.
  3. Strong verbal and written communication skills are required.
  4. Ability to work cross-functionally in a fast-paced, high growth environment and manage multiple concurrent workstreams and priorities is a must.
  5. A bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field is a plus.
  6. Experience with any of the following technologies is a plus: SAP Data Integrator, Syniti Data Replication, Microsoft SQL Server, SQL Server Integration Services (SSIS), Oracle Business Intelligence/Oracle Analytics Server, JD Edwards, DB2, Python, Power Shell, R, Scala, Go, Amazon AWS (EC2 instances, Redshift, lambda functions, S3, etc.), Google Analytics, Google Big Query, Snowflake, Alteryx, Power BI, and Windows and Linux servers.
  7. 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.
  8. General expertise in enterprise IT architecture (databases, ERP, middleware, UI, networking, infrastructure) is a plus.
  9. Experience implementing high availability (HA) and disaster recovery (DR) solutions is a plus.
Competencies Required
  1. Results Orientation
  2. Agility
  3. Initiative
  4. Influence
  5. Customer Focus
  6. Business Acumen
  7. Strategic Thinking
  8. Organizational Agility
  9. Relationship Building


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