Etl informatica developer • kitchener on
Job Description: Role: GCP Data Engineer - ETL, SQL, Python.Kitchener - Hybrid: 2 days a week in office.Designed and built scalable, secure, and high performance data pipelines on Google Cloud... Show more
Join Sonova's Manufacturing Software team and help develop the sophisticated solutions that power our production while enabling data-driven decisions for complex manufacturing challenges.As a Softw... Show more
Descartes Unites the People and Technology that Move the World.The need for efficient, secure, and agile supply chains and logistics operations has become ever more critical and complex.By combinin... Show more
Backend Integration Developer (Java/Spring Boot).Contribute to a strategic digital transformation initiative within the insurance sector focused on enhancing application lifecycle tracking and elec... Show more
Join the Revolution: Shape the Future of XR with Mawari.Imagine being part of a pioneering team that's transforming the internet, communication, and entertainment as we know it.Welcome to Mawari, a... Show more
The Senior Data Engineer is responsible for the design, governance, and ongoing evolution of the organization's enterprise data environment.This role provides leadership in data governance, data ar... Show more
Type of Position:  Full-Time – 2 Positions  Location:  Kitchener, ON – In office 4-days a week  Benefits:  RRSP with employer match, health/dental/vision packag... Show more
Head of Product About the Company Innovative company specializing in quantum computing technology Industry Research Type Privately Held About the Role The Company is seeking a Head of Product... Show more
Job Description
| Job Description: Role: GCP Data Engineer - ETL, SQL, Python Kitchener - Hybrid: 2 days a week in office Primary Skills: ETL SQL Big Data Python Designed and built scalable, secure, and high performance data pipelines on Google Cloud Platform (GCP). Developed and optimized ETL/ELT workflows using Cloud Composer, Dataflow, Dataproc, and BigQuery. Implemented data ingestion frameworks for batch and streaming data using Pub/Sub, Kafka, and Dataflow. Modeled, partitioned, and optimized BigQuery datasets to support analytics use cases. Collaborated with data scientists, architects, and business teams to deliver end-to-end data solutions. Ensured data quality, reliability, and robustness through monitoring, validation, and automation processes. Implemented CI/CD pipelines for data workflows using Cloud Build, Git, and Terraform. Optimized cost, performance, and scalability across GCP data services. Applied security best practices, IAM policies, and compliance standards across data platforms. |
