Sql dba • 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
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
Amazing opportunity for someone who lives in or close to the Kitchener/Waterloo area.We are also willing to assist with relocation costs if you choose to relocate to be closer to work.Please note t... Show more
Our Company is built on employee mutual commitment and respect, enthusiasm and progress.Teledyne Digital Imaging is a subsidiary of Teledyne Technologies Inc.CMOS and CCD image sensors and modular ... Show more
Modern Workplace & Cloud Operations Administrator.Tier 3 operational role responsible for ensuring the stability, security, and efficiency of Microsoft 365, Intune-managed endpoints, Azure Virtual ... Show more
Join Our Cloud Engineering Team.Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a.In this role, you'll design, build, automate, and optimize cloud ... Show more
Natural Resource Solutions Inc.NRSI) is proud to provide high quality and cost-effective natural environment consulting solutions to our clients across Canada.We are a highly respected niche biolog... Show more
We are hiring for a Senior Data Analyst to join our team!.This role will enable decision-makers to make evidence-based decisions, support growth efforts, and identify threats and opportunities thro... Show more
| 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. |
