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Engineering leader managing product engineering teams for advanced packaging technologies at Intel. Focus on quality, cost optimization, and operational excellence with a competitive salary.
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Hybrid Enterprise Data Engineering Manager
Posted last month
About the role
- Enterprise Data Engineering Manager responsible for managing BRG's data platforms and integrations across systems. Collaborating with corporate departments and leading ETL processes while ensuring data quality and accessibility.
Responsibilities
- Lead Data Engineering team and external vendors to support BRG’s enterprise data platforms.
- Manage, maintain, and improve our nightly ETL (Extract Transform Load) processes from BRG’s ERP (Workday) to downstream proprietary systems (running on SQL Server and Snowflake).
- Work with corporate departments to understand their data footprint and data needs.
- Creation and maintenance of data integrations (data flows, API calls, synchronization, ETL/ELT, custom scripts, alerts, etc).
- Design, implementation and monitoring of disaster recovery and business continuity procedures related to data systems.
- Lead efforts to adopt PowerBI.
- Creation of datasets, analysis services models, and reports as needed; assist others with the creation of automated reporting packages.
- Creation of procedures for data warehousing.
- Participation in development of overall data architecture and strategy.
- Maintain documentation of data structures, dictionaries, data models, maps, and other artifacts.
- Project management and planning: coordinating system changes and efforts with business team members, IT staff and vendors.
- IT change management.
- Budget and financial analysis of the cost of data platforms and cost saving measures.
- Tier III support.
Requirements
- Bachelor’s Degree in Information Technology, Computer Science, or Engineering.
- 7+ years relevant business experience.
- Excellent communication skills, with the ability to explain complex financial or technical problems to non-financial or non-technical audiences.
- Strong experience with Microsoft SQL Server, T-SQL.
- Strong experience with complex SQL stored procedures and queries.
- Strong experience with Microsoft Windows Stack (.NET, Azure, Active Directory, Windows Server).
- Strong experience creating and maintaining complex ETL /ETL procedures for high volumes of data.
- Strong experience with REST API’s, OAuth flow, and other API Connectivity.
- Strong attention to detail.
- Experience with PowerBI or SSRS (SQL Server Reporting Services).
- Experience with data visualization technologies (such as PowerBI, Tableau, or Qlik).
- Experience with Integration as a Service platforms (such as Azure Data Factory, Dell Boomi, FiveTran).
- Experience with Snowflake.
- Prior management experience.
- Exceptional problem-solving skills and critical thinking.
- Experience with customer support.
- Ability to adjust to rapidly changing priorities.
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