Senior Enterprise Solution Developer

1 day ago

Iloilo City, Western Visayas, Philippines beBeeData Full time ₱100,000 - ₱120,000

As a Senior Data Engineer, you will play a pivotal role in translating enterprise client requirements into engaging and interactive solutions.

Key Responsibilities:
  • Design and build cloud-based data pipelines and data warehousing solutions using GCP, Python, Fast API, and Pydantic.
  • Support system design, development, and maintenance, upholding personal technical quality standards within the project team.
  • Contribute to defining structured practices, particularly in source code management, building, and deployment.
  • Design and implement data storage solutions.
  • Implement security and data protection measures.
  • Execute meticulous automated tests aligned with best practices.
  • Troubleshoot and debug applications.
  • Optimize applications for maximum speed and scalability.
  • Utilize appropriate tools for version control and build processes.
  • Collaborate with clients and stakeholders to deliver high-quality solutions.

The ideal candidate will have experience delivering at a Senior Data Engineer level in an enterprise environment, demonstrating practical knowledge of developing real-world solutions and platforms. They should possess a deep understanding of code, with experience in Python and SQL, as well as production experience with Snowflake platforms.

Requirements:
  • Experience delivering at a Senior Data Engineer level in an enterprise environment.
  • Practical knowledge of developing real-world solutions and platforms.
  • Deep understanding of code, with experience in Python and SQL.
  • Production experience with Snowflake platforms.
  • Deep understanding of ELT/ETL pipelines and toolchains.
  • Deep understanding of relational and document data stores.
  • Deep understanding of modern web services architecture.
  • Deep understanding of modern testing methodologies, tools, and practices.
  • Understanding of versioning control tools, including Git.
  • Knowledge of containerization, serverless compute, and cloud-run platforms.
  • Understanding of security and performance considerations.
  • Understanding of architectural and design patterns in one or more cloud providers (AWS/GCP/Azure).
  • Understanding of deployment tools and systems integration.

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