- Company Name
- Gala Solutions Inc
- Job Title
- GCP Data Engineer
- Job Description
-
**Job Title**: GCP Data Engineer
**Role Summary**: Design, build, and maintain scalable data pipelines on Google Cloud Platform to provide accurate, high‑quality reporting solutions for enterprise and public sector clients. Manage database performance, automate data processes, ensure data integrity, and collaborate with analysts and stakeholders to deliver actionable insights.
**Expectations**:
- Canadian citizens or Permanent Residents only.
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics or a related field.
- Ability to write efficient code in SQL, Python, and R; experience with BigQuery.
- Proficiency in Excel and data visualization tools (Tableau, Power BI, Looker Studio).
- Strong analytical and statistical skills.
- Excellent time‑management, adaptability, active listening, and self‑management.
**Key Responsibilities**
- Develop and maintain ETL/ELT pipelines for large‑scale data ingestion.
- Design and optimize database schemas, SQL queries, and stored procedures on Cloud SQL/BigQuery.
- Automate data processes using Python, R, and SQL; implement robust error handling.
- Define and execute data quality checks, cleansing routines, and monitoring dashboards.
- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and translate them into technical solutions.
- Monitor performance, identify bottlenecks, and implement optimizations.
- Produce and maintain clear technical documentation for data processes and architecture.
**Required Skills**
- **Technical**: SQL, BigQuery, Python, R, Excel, Tableau/Power BI/Looker Studio, statistical analysis, GCP data services.
- **Soft**: Time management, adaptability, active listening, self‑management, organization, strong written and verbal communication.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. No specific certifications are required, but experience with GCP and related data engineering tools is essential.