Technical Project Manager

Viventis Search Asia; Taguig; On-site; 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

Fixed-term employment: 6 months

Work setup: Hybrid, 3 days a week onsite

Responsibilities

• Ability to demonstrate project management expertise in data engineering end to end deliveries. Work closely with Architects, Infra team and data products managers for setting up analytical ecosystem for cloud and infra modernization journey of the bank to enable businesses for Data & AI use cases.

• 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.

Qualifications

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