Copart is seeking an experienced Data Engineer to be part of the Data Services Team. This team works very closely with all aspects of data, both internal and external. We are looking for a professional with the Software Engineering skills to build data pipelines for efficient and reliable data movement across systems, and also to build the next generation of data tools to enable us to take full advantage of this data. In this role, your work will broadly influence the company's data consumers, executives and analysts.
Design, build and launch extremely efficient & reliable data pipelines to move data to our Data Warehouse/Data Mart.
Develop ETL routines to populate databases from multiple disparate data sources and create aggregates
Create and run data migrations across different servers and different databases including Enterprise CRM and ERP applications.
Design/develop new systems and tools to enable stakeholders to consume and understand data faster
Data cleansing and manipulation using your expert SQL & programming skills
Troubleshoot data issues and present solutions to the issues
Prepare activity and progress reports regarding database & data health and status
Design, code and automate data quality checks, metrics, standards and guidelines
Work across multiple teams in high visibility roles and own the solution end-to-end
3 years’ experience as a Database Engineer with exposure to Big Data solutions.
Recent experience in SQL tuning, indexing, partitioning, data access patterns and scaling strategies
Candidate must have a deep understanding of logical and physical data modeling for OLTP and OLAP systems. Ability to translate a logical data model into a relational or non-relational solution as appropriate
Programming/Scripting experience in Java and/or Scala
Scripting with Shell, Python, Ruby or similar.
Excellent analytical problem solving and decision making skills
Experience working with large complex sets of data in a high-availability environment
Experience with SCRUM agile methodology process and development practices
Bachelor’s degree or higher in computer technology or related field
Plus to have:
Experience in NoSQL/Big Data technologies
Experience in Big Data ingestion frameworks
Experience in Business Intelligence tools and technologies
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