Cloud Data Infrastructure Specialist

3 days ago

Caloocan City, National Capital Region, Philippines beBeeDataEngineer Full time ₱900,000 - ₱1,200,000
Job Overview

We are seeking a highly skilled Data Engineer to join our team and play a critical role in designing, building, and maintaining our data infrastructure to support analytics, reporting, and business intelligence.

The ideal candidate will have a strong background in cloud-based (AWS) data engineering, automation, and DevOps practices, looking to work in a fast-paced, data-driven environment.

This is an exciting opportunity for a talented professional to make a significant impact and contribute to the growth of our organization.

Key Responsibilities:
  • Data Infrastructure & Pipelines: Design, develop, and maintain scalable data pipelines using AWS services such as S3, Glue, Lambda, and RDS.
  • ETL Development: Build robust ETL processes to ingest, transform, and store data efficiently.
  • Database & Storage Optimisation: Manage and optimise relational databases to support business needs.
  • Data Quality & Governance: Ensure high-quality data through validation, monitoring, and governance best practices.
  • Automation & Scripting: Develop scripts and automation tools 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.
Requirements:
  • 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 for data infrastructure automation.
  • Strong focus on data quality, security, and governance.
Desirable Skills:
  • Familiarity with ML technologies.
  • 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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