Chief Data Architect

2 days ago

Manila, National Capital Region, Philippines beBeeDataEngineer Full time ₱6,500,000 - ₱8,500,000
Job Title: Senior Data Engineer

We are seeking a skilled Data Architect to play a crucial role in designing, building, and maintaining our data infrastructure to support analytics, reporting, and business intelligence.

  • Data Infrastructure & Pipelines: Design and develop scalable data pipelines using cloud-based services (e.g., AWS) to meet business needs.
  • ETL Development: Build robust ETL processes to ingest, transform, and store data efficiently.
  • Database & Storage Optimizations: Manage and optimize relational databases to ensure high-quality data.
  • Data Quality & Governance: Ensure data integrity through validation, monitoring, and governance best practices.
  • Automation & Scripting: Develop scripts and automation tools (Python, SQL, 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 (Terraform, GitHub Actions, etc.).
Requirements:
  • Proven experience in data engineering, working with cloud-based platforms.
  • Strong proficiency in Python for data processing and automation.
  • Experience with SQL and database management (PostgreSQL, MySQL, or similar).
  • Hands-on experience with AWS services such as Glue, S3, Lambda, and RDS.
  • Understanding of ETL/ELT best practices and experience building data pipelines.
  • Experience with data visualisation and BI tools such as Tableau or Metabase.
  • Experience with infrastructure-as-code tools (Terraform, CloudFormation) for data infrastructure automation.
Favorable Conditions:
  • Familiarity with machine learning technologies (Sagemaker).
  • Experience working in Agile environments and familiarity with tools like Jira and Confluence.
  • Knowledge of CI/CD for data workflows and version control using Git.

This role requires strong focus on data quality, security, and governance, as well as collaboration with cross-functional teams to translate business requirements into efficient data solutions.

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