Expert Cloud Data Architect

24 hours ago

Marikina City, National Capital Region, Philippines beBeeDataEngineer Full time ₱3,500,000 - ₱5,000,000
Senior Data Engineer Position Overview

The role of Senior Data Engineer is a critical component in the development and maintenance of our data infrastructure. We are seeking a highly skilled professional with extensive experience in designing, building, and maintaining scalable data pipelines using cloud-based services.

The ideal candidate will have a strong background in automation, DevOps practices, and cloud-based data engineering. This individual will work closely with engineers, data scientists, and business stakeholders to ensure efficient processing, storage, and accessibility of high-quality data.

Key Responsibilities:
  • Data Infrastructure & Pipelines: Design, develop, and maintain robust data pipelines utilizing AWS services such as S3, Glue, Lambda, and RDS.
  • ETL Development: Develop ETL processes for efficient data ingestion, transformation, and storage.
  • Database & Storage Optimizations: Manage and optimize relational databases to meet business requirements.
  • Data Quality & Governance: Ensure high-quality data through validation, monitoring, and best practices.
  • Automation & Scripting: Develop scripts and tools like Python, SQL, and Bash to streamline data processes and workflows.
  • Data Presentation & Accessibility: Support business users by ensuring data is structured and accessible in reporting tools like Tableau or Metabase.
  • DevOps & CI/CD: Implement best practices for version control, testing, and deployment of data pipelines using Terraform, GitHub Actions, etc.
Requirements:
  • Proven experience in data engineering with a focus on cloud-based data platforms.
  • Strong proficiency in Python for data processing and automation.
  • Experience with SQL and database management.
  • Hands-on experience with AWS services.
  • Understanding of ETL best practices and experience building data pipelines.
  • Experience with data visualization and BI tools.
  • Experience with infrastructure-as-code tools.
  • Strong focus on data quality, security, and governance.

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