Data Engineer

Octal Philippines Inc.; Quezon City; On-site; PHP 762,642 - 1,143,963; Full time

Benefits offered by this job

Gov't mandated benefits

Job summary

A leading company in technology seeks a Data Engineer specializing in cloud infrastructure and data pipelines. The role involves designing data models, creating interactive dashboards, and collaborating with teams to solve data challenges. The ideal candidate will have experience with major cloud platforms and relevant certifications. Join us and contribute to innovative data solutions!

Qualifications

• Proven experience as a Data Engineer or similar role focusing on data pipelines and cloud.
• Proficiency in SQL, Python, and ETL tools.
• Experience with AWS, Azure, GCP, and data modeling techniques.

Responsibilities

• Develop and maintain data pipelines and cloud infrastructure.
• Create interactive dashboards using reporting tools.
• Troubleshoot complex data-related issues.

Skills

Data Engineering concepts

SQL

Python

ETL tools

Cloud platforms

Data modeling techniques

Reporting and visualization tools

Problem-solving

Communication skills

Education

AWS Certified Data Engineer

Azure Certified Data Engineer

GCP Certified Professional Data Engineer

Tools

Looker

Power BI

Tableau

Google BigQuery

Amazon Redshift

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)

Gov't mandated benefits