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Cloud Engineer

  • Full Time
  • Toronto

Tundra Technical Solutions

Piece by piece, the bank will move their data, servers, applications, and platforms over. This team is creating a team of resources that has skills related to observability, onboarding -setting up workflow by creating users in the cloud, finops, and will need to do development, logging, monitoring, tracing, specifically with google services.

  • Designing, building, operationalizing the Customer Profile Database using Google Cloud Platform (GCP) data services such as DataProc, Dataflow, CloudSQL, BigQuery, CloudSpanner in combination with third parties such as Spark, Apache Beam/ composer, DBT, Cloud PubSub, Confluent Kafka, Cloud storage Cloud Functions & Github
  • Designing and implementing data ingestion patterns that will support batch, streaming and API interface on both the Ingress and Egress.
  • Working with senior data engineers in developing framework and custom code using best practices that will meet the demanding performance requirements
  • Working with minimum supervision in designing and building production data pipelines from data ingestion to consumption using GCP services, Java, Python, Scala, BigQuery, DBT, SQL etc.
  • Experience using Cloud Dataflow using Java/Python for deploying streaming jobs in GCP as well as batch jobs using text/JSON files and writing them to BigQuery
  • Building and managing data pipelines with a deep understanding of workflow orchestration, task scheduling and dependency management
  • Ability to do proof of technology using GCP technologies and work with data architects, solution architects to achieve the desired results and performance.