Lead Cloud Data Architect

20 hours ago

Cagayan de Oro, Northern Mindanao, Philippines beBeeDataEngineer Full time ₱800,000 - ₱1,000,000

Job Description:

We are looking for an experienced professional to join our team as a Senior Data Engineer. The ideal candidate will have a deep understanding of data storage solutions, automated testing, and troubleshooting.

  • Main Responsibilities:
  • Designing and building cloud-based data pipelines and data warehousing solutions using GCP, Python, Fast API & Pydantic
  • Supporting system design, development, and maintenance and taking responsibility for personal technical quality standards within the project team.
  • Assisting with defining structured practices, especially in source code management, building, and deployment.
  • Designing and implementing data storage solutions.
  • Implementing security and data protection.
  • Executing meticulous automated tests in line with best practice.
  • Troubleshooting and debugging applications.
  • Optimising applications for maximum speed and scalability.
  • Using appropriate tools to maintain version control and build processes.
  • Getting feedback from, and building solutions for, users and clients.
  • Working with and supporting the Delivery Architect (team lead) in project execution and timely delivery.
  • Collaborating with client teams.
  • Writing documentation and guides.
  • Following new and emerging technologies.
  • Contributing to NearForm tooling and open-source projects.
Requirements:
  • Experience delivering at a Senior Data Engineer level in an enterprise environment.
  • Practical experience of delivering in an agile environment.
  • Deep understanding of code, with experience developing in Python and utilising SQL
  • Production experience of Snowflake platforms.
  • Deep understanding of ELT/ETL pipelines and toolchains.
  • Deep understanding of Relational and Document data stores.
  • Deep understanding of how modern web services are built.
  • Deep understanding of modern testing methodologies, tools, and practices.
  • Understanding of tools such as AWS serverless compute, Apigee, CloudRun and containerisation.
  • Understanding of security and performance considerations.
  • Understanding of architectural and design patterns in one or more of AWS/GCP/Azure.
  • Excellent analytical and multitasking skills.
  • Excellent communication and collaboration skills.
  • Empathy and people skills.

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