Senior Data Engineer

11 hours ago

Cagayan de Oro, Northern Mindanao, Philippines beBeeEngineering Full time ₱6,000,000 - ₱8,000,000
Job Description

The role of Senior Data Engineer is a critical position in the organization, responsible for the preparation, maintenance and operation of pipelines that deliver large, complex datasets. This includes the development of data architecture and engineering standards, as well as the conceptual, logical, and physical data modeling.

As a Senior Data Engineer, you will work closely with various stakeholders to deliver data-driven solutions. You will be responsible for preparing, maintaining and operating data pipeline infrastructure, working closely with numerous stakeholder groups to capitalize on useful data to drive better insights.

You will also act as a Data custodian responsible for the sourcing, and preparation of quality and trusted data for the use of the extended team. Additionally, you will build and deploy machine learning and analytics models into production, facilitating faster data collection processes by improving technology/infrastructure over time.

Key Responsibilities
  • Prepare, maintain and operate data pipeline infrastructure.
  • Work closely with numerous stakeholder groups to capitalize on useful data to drive better insights.
  • Act as a Data custodian responsible for the sourcing, and preparation of quality and trusted data for the use of the extended team.
  • Builds and deploys machine learning and analytics models into production.
  • Facilitate faster data collection process by improving technology/infrastructure over time.
  • Efficient data discovery with new CDP infrastructure.
  • Implement improvement working models, adopting best practices working with AI/ML partners.
  • Acquiring, ingesting, and processing data from multiple sources and systems into our data platforms.
  • Aid in the adoption of best practices design for databases in order to cater to downstream reporting, AI/ML solutions.
  • Continuously align architecture with changing business requirements.
Required Skills and Qualifications
  • Degree qualified in Business Analytics, Engineering, Data Science (Desirable)
  • Strong understanding of distributed systems, especially Hadoop, Spark, Airflow, Big Query
  • Understanding of ETL, Big data pipeline
  • High level understanding of design patterns
  • Expertise with a diverse range data modelling technique's
  • Superior communication skills and ability to work as part of cross functional teams.
Benefits

Working in a collaborative environment with experienced professionals

Opportunity to develop expertise in data engineering and machine learning

Competitive salary and benefits package

Flexible working hours and remote work options

Others

Shift: Monday to Friday: 6:00am- 3:00pm or 7:00am- 4:00pm PH Time; depending on business needs

Location: Makati | *Work from Home Until Further Notice

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