Cloud Data Engineer

2 days ago


Marikina City, National Capital Region, Philippines beBeeDataEngineer Full time $90,000 - $120,000

About this Opportunity

We're looking for a highly skilled Data Engineer who can design and build cloud-based data pipelines and data warehousing solutions. As part of our team, you'll be responsible for building server-side components of digital products that provide users with fantastic experiences.

The Role:

  • Designing & 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 tooling and open-source projects.
  • Understand and embrace company culture.

Requirements:

  • Experience delivering at a Senior Data Engineer level in an enterprise environment.
  • Practical experience of delivering in an agile environment.
  • Practical experience of knowledge of developing real-world solutions and platforms.
  • 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.
  • Deep understanding of versioning control tools including Git.
  • 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.
  • Understanding of deployment tools and systems integration.
  • Understanding with a wide variety of open-source technologies and tools.
  • Excellent analytical and multitasking skills.
  • Excellent communication and collaboration skills.
  • Empathy and people skills.


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