1872 Consulting
Data Engineer
Portland, OR
Hybrid onsite 2-3 days per week
Description This position is available with one of the world's most experienced platform firmware security companies. They are seeking a Senior Database engineer to implement a remote management system that can pass/receive commands and data to/from client devices. Responsibilities
Maintaining and enhancing the functionality and performance of existing database programs. Monitoring and enhancing databases and related systems to optimize performance. Proactively addressing scalability and performance issues. Ensuring data quality and integrity while supporting large data sets. Debugging and resolving database reliability, integrity, and efficiency. Documenting processes related to the design, configuration, and deployment to new instances. Collaborate with Product, Engineering and Data Science to ensure data quality and integrity for data reporting, exploration, and analysis. Follow agile development methodologies to deliver solutions and product features by following DevOps practices.
Requirements:
5+ years of Data Engineering experience Experience with AWS or Azure Cloud Services (AWS preferred) Experience with Cloud-based Data Warehousing design MUST have at least some PostgreSQL experience Nice to have:
Experience with Python or similar language for data automation Experience with Hadoop DevOps Experience: Docker, Jenkins, GitHub, etc. Tableau, Domo or Power BI
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Hybrid onsite 2-3 days per week
Description This position is available with one of the world's most experienced platform firmware security companies. They are seeking a Senior Database engineer to implement a remote management system that can pass/receive commands and data to/from client devices. Responsibilities
Maintaining and enhancing the functionality and performance of existing database programs. Monitoring and enhancing databases and related systems to optimize performance. Proactively addressing scalability and performance issues. Ensuring data quality and integrity while supporting large data sets. Debugging and resolving database reliability, integrity, and efficiency. Documenting processes related to the design, configuration, and deployment to new instances. Collaborate with Product, Engineering and Data Science to ensure data quality and integrity for data reporting, exploration, and analysis. Follow agile development methodologies to deliver solutions and product features by following DevOps practices.
Requirements:
5+ years of Data Engineering experience Experience with AWS or Azure Cloud Services (AWS preferred) Experience with Cloud-based Data Warehousing design MUST have at least some PostgreSQL experience Nice to have:
Experience with Python or similar language for data automation Experience with Hadoop DevOps Experience: Docker, Jenkins, GitHub, etc. Tableau, Domo or Power BI
#J-18808-Ljbffr