- 10+ years of experience in data engineering, performance optimization for large OLTP applications with a minimum of 4+ years of working experience as Google Cloud Platform (GCP) developer
- Experience with the primary managed data services within GCP, including DataProc, Dataflow, BigQuery / DBT, Cloud Spanner, Cloud SQL, Cloud Pub / Sub etc.
- Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL)
- Experience working with relational / NoSQL databases
- Experience with data streaming and technologies such as Kafka, Spark-streaming etc.
- Experience with Infrastructure as Code (IaC) practices and frameworks like Terraform
- Knowledge of Java microservices and Spring Boot
- Strong architecture knowledge with experience in providing technical solutions for cloud infrastructure.
- Working knowledge of developing and scaling JAVA REST services, using frameworks such as Spring
- Good communication and problem-solving skills. Ability to effectively convey ideas to business and technical teams
Azure Data Engineer Lead
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Experience building data pipelines, and GCP Services, Dataproc, BigQuery, Cloud Spanner, Cloud Run functions, Dataflow, Pub/Sub etc. GCP Data Engineer in Toronto- Hybrid (FTE/Contract). Data Warehouse / Data Platforms. ELT data pipelines from scratch, working with structured, semi-structured, and un...
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Experience building data pipelines, and GCP Services, Dataproc, BigQuery, Cloud Spanner, Cloud Run functions, Dataflow, Pub/Sub etc. Have prior experience with data developer, data engineering, programming, ETL, ELT, processes for data integration. Utilize services and tools to automate data workflo...
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