Hybrid Data Engineering PM for Cloud & DWH Modernization

Viventis Search Asia; Taguig; Hybrid; PHP 1,674,000 - 2,567,000; Part time

Job summary

Viventis Search Asia is seeking an experienced Data Engineer to lead end-to-end data engineering efforts for a bank's analytics ecosystem. You will collaborate with architects, infra teams, and data product managers to enable cloud modernization and data as a service for AI use cases.

The role requires strong knowledge of data pipelines, governance, and modern DWH, with hands-on experience across AWS, Azure, or GCP.

Qualifications

• Experience: 6–8 years of professional experience in data engineering or database development.

Responsibilities

• Ability to demonstrate project management expertise in data engineering end to end deliveries.
• Understanding of various Cloud and big data ecosystems that involves Data pipeline, compute, harmonization techniques, data governance, distributed data computing methods, etc.
• Experience around Modern DWH systems, scaling data science models, cloud adoption (AWS, Azure, GCP, etc.
• Ability to collaborate & build relationships with Director / VP level business units in client organization.
• Experience with BFS clients would be extremely beneficial.

Skills

Data engineering

Database development

Job description

Viventis Search Asia is seeking an experienced Data Engineer to lead end-to-end data engineering efforts for a bank's analytics ecosystem. You will collaborate with architects, infra teams, and data product managers to enable cloud modernization and data as a service for AI use cases.

The role requires strong knowledge of data pipelines, governance, and modern DWH, with hands-on experience across AWS, Azure, or GCP.