Data Engineering Specialist

19 hours ago

Lipa City, Calabarzon, Philippines beBeeDataEngineering Full time ₱5,000,000 - ₱8,500,000

We are seeking a skilled Data Engineering Expert to join our team. As a key member of our data engineering group, you will be responsible for the preparation, maintenance, and operation of pipelines that deliver large, complex datasets.

This includes data system design, development, and operation; conceptual, logical, and physical data modelling.

  • Main 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.
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.

This is a mid-senior level position and requires strong technical expertise and experience in data engineering. The successful candidate will have a strong understanding of distributed systems, data architecture, and data modelling techniques.

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