Cloud Data Specialist

1 day ago

Lipa City, Calabarzon, Philippines beBeeDataEngineer Full time ₱4,000,000 - ₱6,000,000

Overview

We are seeking a Data Engineer with expertise in designing, building and maintaining scalable data pipelines to support analytics, reporting and business intelligence. They will work closely with engineers, data scientists and stakeholders to ensure efficient processing, storage and accessibility of high-quality data.

Responsibilities
  • Design, develop and maintain scalable data infrastructure using AWS services such as S3, Glue and Lambda.
  • Build robust ETL processes to ingest, transform and store data efficiently.
  • Manage and optimise relational databases to support business needs.
  • Ensure high-quality data through validation, monitoring and governance best practices.
  • Develop automation tools and scripts to streamline data processes and workflows.
  • Support business users by ensuring data is structured and accessible in reporting tools.
  • Implement best practices for version control, testing and deployment of data pipelines.
  • Collaborate with cross-functional teams to translate business requirements into efficient data solutions.
Key Skills And Experience
  • Proven experience in data engineering working with cloud-based platforms.
  • Strong proficiency in programming languages such as Python for data processing and automation.
  • Experience with SQL and database management systems such as PostgreSQL or MySQL.
  • Hands-on experience with AWS services including Glue, S3, Lambda and RDS.
  • Understanding of ETL/ELT best practices and experience building data pipelines.
  • Experience with data visualisation and business intelligence 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
  • Familiarity with machine learning 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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