ETL Engineer

HSI

Quezon City

On-site

PHP 500,000 - 800,000

Full time

14 days+

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Job summary

A leading data solutions company in Quezon City is seeking a Data Engineer to design and maintain ETL processes. Candidates should have 1-3 years of experience in ETL development and possess strong SQL skills. The role involves collaboration with analysts to optimize data flows and ensure data integrity. This position is hybrid, offering flexibility in working conditions alongside a supportive team environment.

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or related field.
  • 1-3 years of experience in ETL development or data engineering.
  • Proficient in SQL and data analysis tools.
  • Detail-oriented with strong problem-solving skills.

Responsibilities

  • Design, develop, and maintain ETL processes for data extraction and transformation.
  • Collaborate with data analysts and data scientists to optimize data flows.
  • Monitor and troubleshoot ETL jobs for data accuracy and integrity.

Skills

SQL
Data analysis tools
Data management techniques
Problem-solving skills

Education

Bachelor’s degree in Computer Science, Information Technology, or related field

Job description

Job Description

Hybrid - Quezon City 1-3 Yrs Exp Bachelor Full-time

Description
  • Design, develop, and maintain ETL processes to extract, transform, and load data from various sources.
  • Collaborate with data analysts and data scientists to understand data requirements and optimize data flows.
  • Monitor and troubleshoot ETL jobs, ensuring data accuracy and integrity.
  • Implement best practices for data management and optimization of database performance.
Requirements
  • Educational Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Experience Level: 1-3 years of experience in ETL development or data engineering.
  • Skills and Competencies: Proficient in SQL and data analysis tools.
  • Skills and Competencies: Strong understanding of data management and data mining techniques.
  • Qualities and Traits: Detail-oriented with strong problem-solving skills.
  • Working Conditions: Office-based or remote, with potential for flexible hours.
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