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Senior Cloud Data Engineer
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Senior Cloud Data Engineer

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1 Vacancy
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Job Location

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Ho Chi Minh City - Vietnam

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2781787

Job ref: QV75Y6YR

People Profilers is hiring for a Senior Cloud Data Engineer (GCP/AWS/AZURE) to be a part of creating the ultimate data ecosystem from scratch. Allowing that the correct data is created from all applications and sourced at the appropriate velocity with sufficient depth and breadth to allow total coverage and reuse. This is an opportunity to create something new rather than fix something old.

Responsibilities:

  • Build and manage a data pipeline on Google Cloud Platform (GCP).
  • Collaborate with implementation teams to give technical knowledge for establishing largescale data solutions in the organization and utilize the latest data/analytics technologies on GCP.
  • Create data pipelines and architectures Automate DevOps deployments from development to production.
  • Collaborate with product management to capture key business drivers.
  • Extract load transform clean and validate data.
  • Support and debug data pipelines.

Requirements:

  • At least 4 years of experience in data engineering or similar roles.
  • At least 2 years of Cloudbased Data Engineering expertise in AWS Azure or GCP with a preference for GCP.
  • As GCP Cloud Data Engineer: must be strong at General Infrastructure and Services and
    particular data services such as Big Query Dataflow Airflow Cloud Function etc.
  • As AWS Cloud Data Engineer: must be strong at AWS technologies as the followings: data
    pipeline (Lake Formation MWAA EMR S3 Glue and Athena); Data Warehousing
    technologies (AWS Redshift)
  • As Azure Cloud Data Engineer: must be strong at Azure Data Lake Storage Azure Databricks and Azure Data Factory Synapse etc.
  • Musthave solid experience in technical skills with Cloud Data Engineering DevOps Software Development Coding).
  • Successfully designed and implemented sophisticated data systems (Data Warehouse Data Lake) using multiple architectural patterns including Microservices.
  • Strong SQL and Python skills.
  • DataOps experience.
  • DevOps experience on cloud data platforms such as Terraform GitOps Docker and Kubernetes.
  • Requirements for this position include a strong education background in IT and ICT as well as the ability to influence technical and business peers and stakeholders.
  • Strong English communication skills.

Please send your updated CV to if the role is relevant to your experience.

Remote Work :

No

Employment Type

Full Time

Company Industry

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