A leading tech company in the Philippines is seeking a Data Engineer to design and maintain scalable data pipelines. The ideal candidate will have 1-3 years of experience, a Bachelor's degree in a relevant field, and proficiency in Python and SQL. Responsibilities include collaborating with data scientists, ensuring data integrity, and managing ETL processes. This position offers a full-time, on-site working environment in Makati.
Qualifications
1–3 years of experience in data engineering or related roles.
Proficiency in Python and SQL for data manipulation and analysis.
Strong data management and migration skills.
Responsibilities
Design, develop, and maintain scalable data pipelines.
Collaborate with data scientists and analysts for solutions.
Ensure data quality and integrity through validation systems.
Manage ETL processes and perform data migration tasks.
Skills
Python
SQL
Data management
ETL tools
Analytical abilities
Education
Bachelor's degree in Computer Science, Engineering, or a related field
Job description
On-site - Makati 1-3 Yrs Exp Bachelor Full-time
Job Description
Design, develop, and maintain scalable data pipelines to process large datasets.
Collaborate with data scientists and analysts to understand their data requirements and provide solutions.
Ensure data quality and integrity by implementing validation and monitoring systems.
Perform data migration tasks and manage ETL (Extract, Transform, Load) processes.
Requirements
Educational Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience Level: 1–3 years of experience in data engineering or related roles.
Skills and Competencies: Proficiency in Python and SQL for data manipulation and analysis.
Skills and Competencies: Strong data management and migration skills.
Skills and Competencies: Experience with ETL tools and frameworks.
Qualities and Traits: Strong analytical and problem-solving abilities.
Working Conditions: Ability to work in a fast-paced environment and collaborate with cross-functional teams.