Data Engineer (Python)

CoDev Philippines

Philippines

On-site

PHP 900,000 - 1,500,000

Full time

39 hours ago
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Job summary

CoDev Philippines is seeking a data engineer to own the transformation and modeling layers of a new data warehouse project. You will leverage Google BigQuery and Dataform to design clean, scalable data models using Kimball principles, enabling accurate BI and analytics for the business.

You will lead the development of production-grade transformation pipelines, write advanced SQL, perform EDA, and ensure data quality for trusted reporting across Looker, Tableau or Power BI integrations.

Qualifications

  • Kimball methodology for dimensional data warehouses.
  • Dataform development, testing and deployment in production.
  • Advanced SQL with window functions and joins.
  • Deep BigQuery experience including performance & cost optimization.
  • Knowledge of star/snowflake schemas and data marts.
  • EDA to profile datasets and derive quality insights.
  • BI tool integration with Looker/Tableau/Power BI.
  • Experience with BQML is a plus.
  • Git version control for SQL and Dataform code.

Responsibilities

  • Lead end-to-end data transformation lifecycle using Dataform to deliver trusted datasets.
  • Build scalable, well-documented data pipelines for reliable business reporting.
  • Perform EDA to identify quality issues, understand data structures, and unlock value.
  • Write performant BigQuery SQL focusing on cost and speed optimization; implement QC checks.

Skills

BigQuery
Python
Gemini Enterprise
AI

Tools

Dataform
Git
Looker
Tableau
Power BI

Job description

Overview

We are seeking a highly skilled Data Engineer to own the transformation and modeling layers of a new data warehouse project. This role is centered around an expert-level mastery of Google BigQuery (including Dataform). You will be responsible for taking raw data and architecting clean, reliable, and performant data models by applying Kimball methodology principles to power business intelligence and analytics. Your expertise in building sophisticated, scalable transformation pipelines with Dataform will be vital in transforming complex datasets into actionable insights and ensuring the analytical integrity of our dimensional data warehouse.

Responsibilities
  • Lead the development, maintenance, and optimization of the entire data transformation lifecycle using Dataform to produce high-quality, trusted datasets.
  • Build and manage scalable, well-documented, and tested data transformation pipelines that are critical for business reporting.
  • Conduct Exploratory Data Analysis (EDA) on new and existing datasets to identify quality issues, understand data structures, and unlock business value.Write highly performant BigQuery SQL for complex queries, aggregations, and data manipulation, with a focus on cost and speed optimization.
  • Implement rigorous data quality and validation checks within the transformation process to ensure accuracy and trust in our reporting datasets.
Qualifications
  • Kimball Methodology: Demonstrable, in-depth experience designing and building dimensional data warehouses using Kimball's principles.
  • Dataform Expertise: Mastery of Dataform for developing, testing, and deploying complex SQL-based data transformation workflows in a production environment.
  • Expert-Level SQL: Demonstrable mastery of advanced SQL, including window functions, CTEs, and complex joins.
  • Google BigQuery: Deep, hands-on experience with BigQuery, including performance tuning, cost optimization, and partitioning/clustering.
  • Database Schema Concepts: Strong, practical knowledge of data warehousing schemas (Star Schema, Snowflake Schema, Data Marts).
  • Exploratory Data Analysis (EDA): Ability to analyze and profile datasets to derive insights and assess quality.
  • Business Intelligence (BI) Tool Integration: Experience preparing data for consumption by BI tools like Looker, Tableau, or Power BI.
  • BigQuery ML (BQML): Experience with building and deploying machine learning models using BQML is a significant plus.
  • Version Control (Git): Proficiency in using Git for managing SQL and Dataform code.
Required Skills

Google BigQuery (2), Python (4), Gemini Enterprise (1), Artificial Intelligence (AI) (1)

Years Of Experience Needed

4

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