Octal Philippines

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeQuezon City, Metro Manila, Philippines$70k - $75kIn-person

Proven experience as a Data Engineer or in a similar role focused on data pipelines, cloud infrastructure, and reporting.
Strong understanding of data engineering concepts, tools, and technologies, including SQL, Python, ETL tools, and cloud platforms.
Experience with major cloud platforms such as AWS, Azure, or GCP and their data-related services, including data warehouses, data lakes, and data pipelines.
Proficiency in data modeling techniques, including dimensional and normalized modeling, and data warehouse design.
Expertise in reporting and visualization tools such as Looker, Power BI, and Tableau to create interactive dashboards.
Ability to troubleshoot complex data-related issues and find solutions.
Ability to communicate and collaborate effectively with cross-functional teams.

Preferred certifications such as AWS Certified Data Engineer, Azure Certified Data Engineer, or GCP Certified Professional Data Engineer.
Experience with data warehousing and data lake technologies such as Google BigQuery, Amazon Redshift, Snowflake, or Databricks.
Knowledge of data analytics and machine learning concepts.
Familiarity with data governance and compliance frameworks such as HIPAA, GDPR, or CCPA.

Octal Philippines Inc. · Quezon City, Philippines · Full-time · Posted 2025-06-25

Salary: unknown currency 70,000–75,000

Workplace: on_site

Requirements:

Experience: Proven experience as a Data Engineer or similar role with a focus on data pipelines, cloud infrastructure, and reporting.
Technical Skills: Strong understanding of data engineering concepts, tools, and technologies (e.g., SQL, Python, ETL tools, cloud platforms).
Cloud Platforms: Experience with major cloud platforms (e.g., AWS, Azure, GCP) and their data-related services (e.g., data warehouses such as BigQuery/Redshift, data lakes, data pipelines).
Data Modeling: Proficiency in data modeling techniques (e.g., dimensional, normalized) and data warehouse design.
Reporting and Visualization: Expertise in using reporting and visualization tools (e.g., Looker, Power BI, Tableau) to create interactive dashboards.
Problem-Solving: Ability to troubleshoot complex data-related issues and find innovative solutions.
Communication: Excellent communication skills to collaborate effectively with cross-functional teams.
Certifications: Preferred certifications (e.g., AWS Certified Data Engineer, Azure Certified Data Engineer, GCP Certified Professional Data Engineer).

Additional Skills (Preferred):

Experience with data warehousing and data lake technologies (e.g., Google BigQuery, Amazon Redshift, Snowflake, Databricks)
Knowledge of data analytics and machine learning concepts
Familiarity with data governance and compliance frameworks (e.g., HIPAA, GDPR, CCPA)

Gov't mandated benefits

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