Data Engineer
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Before you apply
LocationTaguig City, Metro Manila, Philippines
Typefull-time
Company size201–500 people
PostedJun 25, 2025 · 1y ago
Verified live19h ago
May no longer be actively hiring
Posted by the company on Jun 25, 202565% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Proven experience as a Data Engineer or similar role with a focus on data pipelines, cloud infrastructure, and reporting
Strong understanding of data engineering concepts, tools, and technologies (e.g., SQL, Python, ETL tools, 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)
Proficiency in data modeling techniques (e.g., dimensional, normalized) and data warehouse design
Expertise in using reporting and visualization tools (e.g., Looker, Power BI, Tableau) to create interactive dashboards
Ability to troubleshoot complex data-related issues and find innovative solutions
Excellent communication skills to collaborate effectively with cross-functional teams
Preferred certifications (e.g., AWS Certified Data Engineer, Azure Certified Data Engineer, GCP Certified Professional Data Engineer)
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)
Skills
SQL
Python
ETL
AWS
Azure
GCP
BigQuery
Redshift
Looker
Power BI
Tableau
Snowflake
Databricks
Benefits
Government mandated benefits
Requirements
Requirements:
1.
Experience: Proven experience as a Data Engineer or similar role with a focus on data pipelines, cloud infrastructure, and reporting.
2.
Technical Skills: Strong understanding of data engineering concepts, tools, and technologies (e.g., SQL, Python, ETL tools, cloud platforms).
3.
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).
4.
Data Modeling: Proficiency in data modeling techniques (e.g., dimensional, normalized) and data warehouse design.
5.
Reporting and Visualization: Expertise in using reporting and visualization tools (e.g., Looker, Power BI, Tableau) to create interactive dashboards.
6.
Problem-Solving: Ability to troubleshoot complex data-related issues and find innovative solutions.
7.
Communication: Excellent communication skills to collaborate effectively with cross-functional teams.
8.
Certifications: Preferred certifications (e.g., AWS Certified Data Engineer, Azure Certified Data Engineer, GCP Certified Professional Data Engineer).
Requirements
Additional Skills (Preferred):
Nice to have
1.
Experience with data warehousing and data lake technologies (e.g., Google BigQuery, Amazon Redshift, Snowflake, Databricks)
2.
Knowledge of data analytics and machine learning concepts
3.
Familiarity with data governance and compliance frameworks (e.g., HIPAA, GDPR, CCPA)
Benefits
Gov’t mandated benefits
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