About this role
Lead and mentor a high-performance data engineering team to build and scale a next-generation Data Lakehouse ecosystem. Oversee the migration of legacy systems, implement data governance, and enable self-serve analytics to support business-critical product needs.
Requires a B.S. or M.S. in Computer Science with over 10 years of experience in scalable data solutions and 3+ years in leadership roles. Must possess deep expertise in cloud data architecture, including tools like Airflow, Kafka, and infrastructure-as-code.
What they're looking for
Data Engineering ManagementCloud Data ArchitectureData LakehousedbtAirflowAWS S3Apache IcebergEMR
Frequently asked questions
What does a Engineering Manager, Data Engineering at Rakuten Viki do?
Lead and mentor a high-performance data engineering team to build and scale a next-generation Data Lakehouse ecosystem. Oversee the migration of legacy systems, implement data governance, and enable self-serve analytics to support business-critical product needs. Requires a B.S. or M.S. in Computer …
What skills does this Engineering Manager, Data Engineering role need?
Key skills for this role include Data Engineering Management, Cloud Data Architecture, Data Lakehouse, dbt, Airflow, AWS S3.
How much does a Engineering Manager, Data Engineering at Rakuten Viki pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Engineering Manager, Data Engineering role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Engineering Manager, Data Engineering role?
You can apply directly on Rakuten Viki's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.