Data Engineer

(#jobs) Data Engineer Tasks

• Develop ETL pipelines to integrate newly acquired companies into corporate reporting dataset
• Identify errors in BI data compared to financial statements, and implement solutions to reconcile the two
• Work closely with ETL tool development team to manage bug reporting, feature development, and platform deployment
• Support strategic decisions related to all things data and analytics, long-term BI investments, and the toolsets that will support these new initiatives
• Work with business unit IT leads to establish and maintain connectivity between local infrastructure and the corporate BI system
• Define and uphold data quality and consistency standards through the BI pipeline from data source through final reporting product
• Drive process improvements around the BI system, reporting deliverables, and consolidation of business unit technology platforms
• Participate in other ad-hoc technology projects across the organization to support strategic initiatives
• Travel with other team members to business unit offices to participate in new ERP system integrations into the BI platform

• Bachelor's degree required
• Computer Science background a plus
• Accounting or Finance experience a plus
• Minimum 2+ years of data management experience
• Technical experience developing and maintaining ETL pipelines
• Proficiency with SQL required
• Databricks/Spark experience a plus
• AWS experience a plus
• Scala or Python experience a plus
• Good knowledge of standard concepts, best practices, and procedures within a data warehousing and business intelligence environment
• Excellent organizational and communication skills to work in a fast-paced environment and manage and prioritize multiple tasks simultaneously
• Ability to work independently, as well as part of a team
• Willingness to travel 5-10%