Cru is hiring a
Data Engineering & Analytics Team Leader
📍 Orlando, FL
- Lead in project planning and management, including the discovery and documentation of requirements for a given project, development, testing as well as learn & maintain proficiency in software platform(s) for designing and delivery of ETL/ELT processes and BI reports/dashboards.
- Lead the creation of dimensional data models, denormalize data from various sources, and optimize models for BI performance in collaboration with BI and data analysts.
- Lead the development of ETL/ELT processes and queries to integrate data from disparate sources, such as Oracle, Postgres, and MySQL databases, into our enterprise data warehouse (EDW).
- Lead the creation of data orchestration solutions to move data from one point to another and coordinate the combining, verifying, and storing of the data for analysis.
- Design, build, and manage end-to-end data pipelines to automate data ingestion, transformation, and loading processes. Monitor pipeline performance, troubleshoot issues, and optimize for efficiency and reliability. Develop scalable, reliable, manageable data pipelines.
- Create standard operating procedures and manuals for CI/CD practices for version control of data integrations and BI solutions.
- Lead code reviews to find causes of errors and determine best solutions for resolving those errors.
- Lead critical data projects, directing other data resources/personnel on projects, reviewing work of others, and keeping leadership informed.
- Assist and speak into the data strategy development, data governance and data management in addition to the availability, usability, integrity, retention, and security of the information/data employed throughout the organization.
- Participate in the data governance and data quality capabilities, and implementation of the data architecture and strategy. This includes the defining of business rules/definitions and providing control on how data is to be used enterprise-wide.
Experience and Skills
- Bachelors Degree preferably in Math, Statistics, Business, Computer Science, or Data Science.
- Preferred Master's in related area.
- 7 - 10 years Data engineering/analysis experience.
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