Data Engineer

1 week ago


Mandaluyong City, National Capital Region, Philippines Michael Page Full time

About Our Client

The company is a pioneer and leader in the creative process outsourcing industry.

Job Description

  • Design, develop, and support data pipelines, warehouses, data models, and reporting systems to tackle marketing impact, performance analysis and new campaign opportunities.
  • Troubleshoot existing data setups to uncover data transformation issues.
  • Partner with business stakeholders, upstream infrastructure platform teams, and downstream data consumers to understand data and translate business requirements into technical design of building and leveraging scalable data pipelines.
  • Use your expertise in data engineering best practices to guide others to do the same through building proofs of concept and prototypes.
  • Build efficient solutions on top of cloud infrastructure platforms.
  • Serve as an in-house Subject Matter Expert in optimal data pipeline solutions.

The Successful Applicant

  • Bachelor's degree in Information Technology, Engineering or Data Analytics and/or with 2 - 5 years of relevant work experience in data engineering and operations.
  • Experience in ETL specifically in SQL stores.
  • Experience in managing instances on any cloud platform - Azure, AWS, GCP
  • Familiarity with a range of data engineering approaches, covering theoretical best practices and the technical applications of these methods.
  • Good understanding of marketing terminology and measurement metrics.
  • Excellent communication skills with business intuition and ability to understand business systems, versatility and willingness to learn new technologies on the job.
  • Detailed-oriented, methodical and prefers a structured way of getting things done.
  • Able to consistently meet deadlines and problem-solve with strong attention to detail.
  • Experience with end-user visualisation tools like Google Data Studio, Power BI and Tableau is a plus

What's on Offer

  • Day 1 HMO
  • Night Differential Allowance
  • Cash and non-cash allowances and benefits
  • Shuttle Services
  • Training & Development

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