Job Description

  • Offers hands-on experience in market research and analytics.
  • A collaborative culture that supports fast growth.


About Our Client

This opportunity is with a large organization in the Fintech industry. The company is known for its innovative solutions and commitment to leveraging data-driven insights to stay ahead in the market.

Job Description

  • Design and build data pipelines and ETL processes
  • Develop and maintain data storage solutions
  • Ensure data quality, integrity, and accessibility
  • Collaborate with data scientists to prepare datasets for AI models
  • Optimize data workflows for performance and scalability
  • Implement data validation and cleansing processes
  • Document data engineering processes and standards


The Successful Applicant

A Successful Data Engineer Should Have

  • 5-7 years of experience in data engineering and ETL processes
  • Proficiency in programming languages such as Python, SQL, or similar.
  • Proficiency with SQL, Python, and big data technologies (e.g., Hadoop, Spark)
  • A solid understanding of database systems and data modeling.
  • Bachelors degree in Computer Science, Engineering, or related field.
  • An analytical mindset with a focus on problem-solving and innovation.


Whats on Offer

  • Opportunities to work on cutting-edge data projects in the Fintech industry.
  • Permanent employment with a large organization.
  • Collaborative and supportive work environment.
  • Potential for professional growth and learning development programs.


This role offers a rewarding career in data engineering. If you are ready to make a significant impact apply now!

Contact: Vicente Apay

Quote job ref: JN-012026-6925354


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: Philippines City: Mandaluyong National Capital Region
Company Website: https://redirect.michaelpage.com/mp-home Job Function: Engineering
Company Industry/
Sector:
Banking Financial Services And Accounting

What We Offer


About the Company

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