Senior Cloud Data Architect
4 days ago
About the Role:
We are seeking an experienced Senior Cloud Data Architect to join our team at CorGTA, a Fortune 1000 company based in Toronto. As a key member of our data engineering team, you will be responsible for designing and implementing scalable cloud-based data solutions using GCP Google Cloud Platform. The ideal candidate will have a strong background in data engineering, cloud computing, and experience working with big data technologies.
Key Responsibilities:
- Design and implement cloud-based data architectures using GCP services such as BigQuery, Cloud Storage, and Cloud Dataflow.
- Develop and maintain ETL processes to extract, transform, and load data from various sources into cloud-based data warehouses.
- Collaborate with cross-functional teams to identify business requirements and design data solutions that meet those needs.
- Ensure data quality, integrity, and security throughout the data pipeline.
Requirements:
- 8+ years of experience as a Data Engineer or similar role.
- Strong experience working with Python, DBT, and GCP Google Cloud Platform.
- Experience with relational databases (Oracle, SQL Server, MySQL, PostgreSQL) and big data technologies (e.g., Spark, Hive, Airflow).
- Understanding of data management disciplines such as data quality, data profiling, etc.
- ETL experience is essential.
About CorGTA:
CorGTA is an equal opportunity employer committed to diversity and inclusion. We offer a competitive salary range of $120,000 - $180,000 per year, depending on experience, plus benefits and opportunities for professional growth.
Location:
This is a hybrid remote position, requiring 2-3 days of work in our Toronto office per week. If you are a motivated and experienced data engineer looking for a new challenge, please apply with your updated resume and a cover letter outlining your relevant skills and experience.
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