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Open nowFirst seen 3 days ago

Senior Cloud Data Engineer (GCP/AWS/AZURE)

People Profilers Vietnam625 open roles

Where
Ho Chi Minh City, Ho Chi Minh City, Vietnam
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Your applicationOpen nowSenior Cloud Data Engineer (GCP/AWS/AZURE)People Profilers Vietnam · Ho Chi Minh City, Ho Chi Minh City, Vietnam

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

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 large-scale 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 Cloud-based 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.
  • Must-have 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 [email protected] if the role is relevant to your experience.

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