Data Engineer

Octal Philippines Inc.; Philippines; On-site; PHP 900,000 - 1,400,000; Full time

Benefits offered by this job

Gov't mandated benefits

Job summary

Octal Philippines Inc. is seeking a Data Engineer to design and maintain data pipelines and cloud-based data infrastructure. The role focuses on building scalable data systems and delivering insightful dashboards for decision-making.

Ideal candidates have strong SQL/Python skills, experience with ETL tools and cloud platforms, and knowledge of data modeling and warehousing. Collaboration with analytics and product teams is essential.

Qualifications

• Proven experience as a Data Engineer with focus on data pipelines, cloud infrastructure and reporting.
• Strong understanding of data engineering concepts, tools and technologies (SQL, Python, ETL, cloud platforms).
• Experience with major clouds and data services (data warehouses and data lakes).
• Proficiency in data modeling and data warehouse design.
• Expertise in reporting/visualization tools to create interactive dashboards.
• Ability to troubleshoot data-related issues and propose innovative solutions.
• Excellent communication to collaborate with cross-functional teams.
• Certifications in data engineering are preferred (AWS/Azure/GCP).
• Experience with data warehousing and data lake tech (BigQuery, Redshift, Snowflake, Databricks).
• Knowledge of data analytics, ML concepts, and data governance/compliance frameworks.

Skills

Data pipelines

Cloud platforms

Data modeling

Reporting concepts

Troubleshooting

Communication skills

Tools

SQL

Python

ETL tools

AWS

Azure

GCP

Looker

Power BI

Tableau

BigQuery

Redshift

Snowflake

Databricks

Job description

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).

Additional Skills (Preferred)

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