Sr. Data Engineer (Google Big Query)

Job Highlights

  • laptop to be provided 
  • Upon regularization 30 paid leaves per year
  • Upon regularization HMO for you PLUS 1 dependent worth P150,000

Role Summary

1

Responsibilities

  • Responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing
  • Implement ETL processes to extract, transform, and load data across systems
  • Ensure data quality by performing data validation and implementing data cleansing techniques
  • Collaborate with cross-functional teams to understand data requirements and provide technical expertise in data engineering
  • Optimizing data processing and querying performance through efficient use of Google BigQuery features and best practices.
  • Managing and troubleshooting data infrastructure, identifying and resolving performance issues, and ensuring high availability of data.
  • Staying updated with the latest developments and best practices in Google BigQuery and related technologies to continuously improve data engineering practices.

Qualifications

  • The ideal candidate will possess a strong educational background in data engineering, computer science, or a related field, along with a proven track record of delivering data-driven solutions
  • Must have 4+  years of experience in Google BigQuery
  • Strong understanding of data engineering concepts and best practices
  • Experience in designing and developing data pipelines
  • Knowledge of ETL processes and data migration techniques
  • Familiarity with data validation and cleansing techniques
  • Experience with SQL and database management systems
  • Understanding of cloud platforms and technologies
  • Strong analytical and problem-solving skills, with the ability to troubleshoot and optimize data processes

 

Technical Environment

Additional Information

Career Level

Senior

Work Location

Metro Manila

Work Setup

Fully Onsite (Dayshift)

Job Type

Full Time/Project Based

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