Role: Cloud-PaaS-GCP-Google Cloud Platform
Location: Vancouver, BC
Fixed Term for 11Months.
Python + GCP
- Hands-on experience in building the data pipelines to fetch the data from various source system patterns such as batch, streaming & relational.
- Hands-on experience in Google services such as BigQuery, DataFlow, DataProc, Cloud scheduler, Cloud Storage, Pub/Sub, Cloud Composer, Cloud Function.
- Hands-on experience in using cloud data ingestion tools such as Apache NiFi & Qlik Replicate/Golden Gate.
- How to optimize the data engineer pipelines.
- Exposure towards leveraging Python in cloud services.
- Hands-on experience in tuning Big Query SQL.
- Understand the DWH, Snowflake & STAR schema designs, normalization forms & slowly changing dimensions.
- 6 or more years of experience in performance tuning SQL queries on OLAP databases
- Python (>3 years)
- CI/CD (>2 years)
- Data analysis (>2 years)
- Work with multiple geographic teams
- Need a strong team collaborator that can work and lead independently.
Job Type: Full-time
Pay: $100,000.00-$120,000.00 per year
Experience:
- Cloud-PaaS-GCP-Google Cloud: 7 years (preferred)
- BigQuery, DataFlow, DataProc: 7 years (preferred)
- Apache NiFi & Qlik Replicate/Golden Gate: 6 years (preferred)
- Python : 6 years (preferred)
- Big Query SQL.: 7 years (preferred)
- DWH, Snowflake & STAR schema : 7 years (preferred)
- CI/CD (>2 years): 3 years (preferred)
- Data analysis: 3 years (preferred)
Location:
- Vancouver, BC (preferred)
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