Data Engineer

  • Sector: Monroe Information Technology
  • Contact: Patricia Gundran
  • Start Date: ASAP
  • Client: Monroe Consulting Group
  • Location: City of Taguig
  • Salary: PHP45000 - PHP60000 per annum + HMO Coverage & Career Growth
  • Expiry Date: 11 February 2022
  • Job Ref: BBBH366314_1641957541
  • Contact Email: patricia.gundran@monroeconsulting.com.ph


Executive recruitment company Monroe Consulting Group Philippines is recruiting on behalf of a technology company who offers a full spectrum of global technology and supply chain services to businesses around the world. Our respected client is seeking an Information Technology (IT) Professional for the job of Data Engineer. The job is located in Taguig City, Philippines but currently offers a WFH arrangement until further notice.

Job Summary:
The Data Engineer is responsible for maintaining the organization's databases across multiple platforms and computing environments.

Key job responsibilities include:

  • Designs, develops, tests, debugs and implements operating systems components, software tools, and utilities.
  • Determines systems software design requirements.
  • Ensures that system improvements are successfully implemented and monitored to increase efficiency.
  • Generates systems software engineering policies, standards and procedures.
  • Explains facts, policies and practices related to job area.
  • Works on projects of limited scope and complexity.
  • Follows standard practices and procedures in analyzing situations or data from which answers can be readily obtained.
  • Work is reviewed regularly by supervisor or more senior peers.

Key job requirements include:

  • Bachelor's/College Degree, Computer Science/Information Technology, Engineering (Computer/Telecommunication) or equivalent.
  • With at least 3 to 5 years of functional experience
  • Experienced professional individual contributor on a project or work team.
  • Can work on a minimal supervision.
  • Strong SQL/Transact-SQL skill and familiar with stored procedures
  • Familiar with scheduling tool such as Control-M
  • Experience in ServiceNow
  • Strong analytical and programming skills, preferably Python
  • Minimum 3 years' experience in Data Warehousing and ETL/ELT (Extract, Transform, Load) / (Extract, Load, Transform)
  • AWS Resources exposure and skill is a plus - S3, EC2, Redshift, Lambda
  • Knowledge on reporting tool - SAP Business Objects and Power BI is nice to have