Manager, Data Engineer

About the role

If you have a strong background in IT, computer science, or software engineering, and are analytical, technologically savvy, solutions and process-focused, then the Technology & Operations team may be for you! Manage existing data resources and introduce technologies and tooling that advance data warehousing, science, analytics, and scalable data sharing.

What you'll do

• Manage existing data resources and introduce technologies and tooling that advance data warehousing, science, analytics, and scalable data sharing
• Own data environments (e.g., data warehouse and data-sharing platforms), with the capacity to contribute hands-on development when needed
• Oversee the design of data usage processes that support teams across the organization
• Define and uphold Data Warehousing Engineering Standards & Practices covering versioning, readability, functionality, extensibility, data quality, test results

What you need

• 3–6 years in data science & ai
• SQL
• Data warehousing
• Python
• Data modelling
• ETL
• Hadoop
• Any graduate

Good to have

• Hive
• Ruby
• Scala
• Java

What you get