Data Engineer (On-Site Cebu Business Park)

THIS IS AN ON-SITE POSITION AT CEBU BUSINESS PARK

How to Apply:
Copy and Paste the Link below in the browser to generate the application form:
https://forms.gle/19qfxZAJKVgQPrQh6

CEBU-BASED APPLICANTS ONLY

Rate: $8/hr and earn 80,000 PHP+/month
Schedule: Monday - Friday: 8:00 AM - 4:30 PM PST with 30-min unpaid lunch and two
paid 15-min breaks.


Job Overview:
We are seeking a motivated and detail-oriented Data Engineer to join our data engineering team. In this entry-level role, you'll be responsible for bread-and-butter data modelling work across domains (i.e., feature usage, revenue reporting) but you'll also be a business partner to many parts of the organization. With our team, you'll be turning rows and columns in a data warehouse into powerful business insights that can be used to make impactful decisions. This role will be a mix of data modelling & testing, and providing crucial analyses that are accurate, reliable, reproducible, and accessible to help impact the rest of the Business.


Key Responsibilities:
Analysis and Reporting:
- Build insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
- Drive automation of reporting to enable self-serve analytics to scale across the company
Database Management:
- Write SQL queries to extract, store, and manipulate data in relational databases.
- Design and develop dbt code to extend our existing data models.
- Ensure the quality, integrity, and accessibility of the data.
- Become an expert in our data models and the company’s data architecture.
Collaboration & Support:
- Work closely with product managers, sales, and other engineers to understand data needs, translate into technical requirements, design data models, and provide support.
- Act as a point of contact for ensuring that the data required for reporting and analysis is accessible and accurate.
Performance Monitoring:
- Troubleshoot and resolve any issues with data flows or system performance.
Documentation & Best Practices:
- Document all data processes and systems to ensure clarity and consistency across teams.
- Follow coding best practices, contribute to team code reviews, and maintain version control with Git.

Skills and Qualifications:
- Proficiency in SQL for querying and manipulating databases.
- Proficiency in spreadsheet tooling including vlookups and pivot tables
- Experience with programming languages like Python (or other scripting languages).
- Strong analytical and problem-solving skills.
- Familiarity with data visualization tools like Tableau, Power BI, or Python visualization libraries is beneficial.
- Familiarity with modern data stack tools (Snowflake, Airflow, dbt) is beneficial.
- Experience with one or more of the following business subject areas is beneficial: marketing, finance, sales, product
- Ability to work collaboratively within a cross-functional team.
- Excellent written and verbal communication skills.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field is required.