Chief Data Infrastructure Specialist

1 day ago

Caloocan City, National Capital Region, Philippines beBeeData Full time ₱5,000,000 - ₱8,000,000
Senior Data Engineer

The Senior Data Engineer plays a critical role in designing, building, and maintaining data infrastructure to support analytics, reporting, and business intelligence.

This position requires an engineer with a strong background in cloud-based (AWS) data engineering, automation, and DevOps practices looking to work in a fast-paced, data-driven environment.

Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines using AWS services such as S3, Glue, Lambda, and RDS.
  • Build robust ETL processes to ingest, transform, and store data efficiently.
  • Manage and optimize relational databases to support business needs.
  • Ensure high-quality data through validation, monitoring, and governance best practices.
  • Develop scripts and automation tools (Python, SQL, Bash) to streamline data processes and workflows.
  • Support business users by ensuring data is structured and accessible in reporting tools like Tableau or Metabase.
  • Implement best practices for version control, testing, and deployment of data pipelines (Terraform, GitHub Actions, etc.).
  • Work closely with cross-functional teams to translate business requirements into efficient data solutions.
Required Skills and Qualifications:
  • Proven experience in data engineering, working with cloud-based data platforms (AWS).
  • 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.
  • Strong focus on data quality, security, and governance.
Desirable Skills:
  • Familiarity with ML 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.

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