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lavori da Engineer in località Canada
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Data Engineer
Nexus Systems Group Inc.
Toronto
In loco
CAD 100.000 - 130.000
Tempo pieno
30 giorni fa
Descrizione del lavoro
A technology solutions provider in Toronto is seeking an experienced Data Engineer. You will design and build the Wealth Data Hub using Google Cloud Platform services and oversee a team of engineers. The ideal candidate has 8-10 years of experience, with strong skills in data engineering and performance optimization. Knowledge of both GCP and relational databases is essential. This position offers an opportunity to work on cutting-edge cloud solutions within a collaborative environment.
Competenze
- 8-10 years in data engineering, with 3 years as GCP developer.
- 5+ years with relational/NoSQL databases.
- 2-3 years with GCP managed data services.
Mansioni
- Design and build the Wealth Data Hub using GCP.
- Lead a team of data engineers in framework development.
- Implement data ingestion patterns supporting batch and streaming.
Conoscenze
Data engineering
Performance optimization
Google Cloud Platform (GCP)
Relational/NoSQL databases
Data streaming technologies
Formazione
Degree in Computer Science or related field
Strumenti
Google Cloud Platform services
Spring
Terraform
Java microservices
Descrizione del lavoro
Typical Day in Role
- Designing, building, operationalizing the Wealth Data Hub (WDH) 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 Pub/Sub, 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.
- Guide a team of data engineers and work hands on in developing framework and custom code using best practices that will meet the demanding performance requirements
- Take a lead 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.
- Provide end-to-end technical guidance and expertise on how to effectively use Google Cloud to build solutions; creatively applying cloud infrastructure and platform services to help solve business problems; and communicating these approaches to different business users
- Provide guidance on Implementing application logging, notification, jobs monitoring and performance monitoring
Candidate Requirements / Must Have Skills
- 8-10 years of experience in data engineering, performance optimization for large OLTP applications with a minimum of 3 years of working experience as Google Cloud Platform (GCP) developer
- 5+ years of experience working with relational/NoSQL databases
- 2-3 years of experience with the primary managed data services within GCP, including DataProc, Dataflow, BigQuery/DBT, Cloud Spanner, Cloud SQL, Cloud Pub/Sub etc.
- 2-3 years of experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL)
- 1-2 years of experience with data streaming and technologies such as Kafka, Spark-streaming etc.
Nice-To-Have Skills
- Working knowledge of developing and scaling JAVA REST services, using frameworks such as Spring
- Understanding of Wealth business line and the various data domains required for building an end to end solution
- 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.
- Active Google Cloud Data Engineer certification or Google Professional Cloud Architect certification preferred
Education
- Degree in Computer Science or related field
- Active Google Cloud Data Engineer certification or Google Professional Cloud Architect certification preferred
* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.