Senior Data Engineer: Platform, Automation & Governance

Ascendion

Metro Manila

On-site

PHP 500,000 - 800,000

Full time

25 hours ago
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Job summary

Ascendion is seeking a data engineer to design and build data storage solutions, including database objects and data structures, and to develop data transformation, cleansing, and preparation processes.

The role focuses on automation and code enhancements, performs unit testing and system integration testing, and maintains platform stability and performance of the EDP. You will collaborate with cross-functional teams to identify data needs and document analytics processes.

Responsibilities

  • Designs and builds data storage solutions including database objects and data structures
  • Develops data transformation, cleansing, and preparation processes
  • Perform job optimization/automation via code enhancement, configuration, or implementation of new tools/technology
  • Perform unit testing and system integration testing
  • Maintain and monitor platform stability and performance of EDP. Execute updates, patches, and other activities required to maintain and enhance operations
  • Ensures compliance with governance standards of the platform, security policies, and SDLC
  • Collaborate with cross-functional teams to identify data needs and opportunities for improvement
  • Develop and maintain documentation related to data engineering and analytics processes and procedures
  • Perform Proof of Concept on new integration and analytic patterns and solutions
  • Contribute to best practices and standards for the data engineering team

Job description

Ascendion is seeking a data engineer to design and build data storage solutions, including database objects and data structures, and to develop data transformation, cleansing, and preparation processes.

The role focuses on automation and code enhancements, performs unit testing and system integration testing, and maintains platform stability and performance of the EDP. You will collaborate with cross-functional teams to identify data needs and document analytics processes.

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