jr. Data EngineerRingCentral

Acquire BPO is an award-winning, global business outsourcer with 8,500 staff operating out of Class A offices in 16 locations across the Philippines, Australia, the Dominican Republic and the US, as well as from comprehensive Work-from-Home environments, where client-permitted. We are one of the fastest-growing BPO companies and Australia's largest outsourcer to the Philippines.
We have 15-years' experience delivering intelligent contact center and back-office functions for global businesses across many industries including telecommunications, banking and financial services, insurance, media, education and retail. We're recognized as being Safe, Flexible and
Innovative, giving our clients the capability to Outsource with confidence.
As a dynamic organization with the ability to take your career to the next level, we're looking for strong candidates to join our team and partner with one of the biggest cloud communications companies in the world RingCentral. We value our employees highly and, as such, offer excellent career development programs and competitive compensation and benefits packages.
RingCentral is the global leader in cloud-based communications and collaboration software. Weare fundamentally changing the nature of human interaction-giving people the freedom to connect powerfully and personally from anywhere, at any time, on any device.
We're a $1.5 billion company that's growing at 30% annually and we're expanding our Business Support Unit BSU Team to make sure we stay ahead of the competition
RingCentral is looking for a Senior Data Engineer to develop data platforms and pipelines to support the CM Buddy Solution
Responsibilities:
Manage a data engineering project module: responsible for clarifying initial objectives, setting up methodology, and quality assurance in line with overall project goals.
Analyze source systems, define underlying data sources and transformation requirements, design suitable data models and document the design/specifications
Build automated data pipelines and create data platforms and their components with limited support
Build automated pipelines to validate, catalog, aggregate and transform ingested data
Assemble large and complex datasets that meet functional business requirements
Identify, design, and implement internal process improvements: automating manual processes,optimizing data delivery, re-designing infrastructure for greater scalability.
Manage anomalies, gaps and inconsistencies in data models
Set up and maintain data infrastructure that support business information systems and applications with limited supervision
Communicate with business domain experts, data analysts, and engineering teams to build foundational, well-understood dta sets.
Advise stakeholders decisions by articulating the impact of certain choices on a process
Qualification/Technologies
Must Have
Bachelor's degree in Computer Science or similar relevant field with at least 5 years of experience. Advanced degree preferred.
3+ years experience with PostgreSQL
ETL experience and building data models
Containerization: Docker, Kubernetes
Nice to have
Python
Devops experience: Docker, Kubernetes etc
Experience with Snowflake, Hadoop etc
Experience with Microsoft Azure
Programmatic platform for scheduling and monitoring data pipelines: e.g. Airflow, Oozie
Unix System Administration skills
What we offer:
We offer all the work/life benefits you could ever want, (and none of the micromanagement.)
Work from home temporarily until further notice
Comprehensive HMO package (medical and dental)
Personal Time Off Leaves
Quarterly Performance Bonus
Employee Assistance and Wellness Programs
To know more about the Acquire-RingCentral Manila collaboration, you may visit
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RingCentral

Manila City, Metro Manila
Permanent
Full-time