Lead Data Consultant

3 weeks ago


Toronto, Canada CGI Full time

We are Canada's largest independent information technology services firm, and after 45 years, we're still growing Join Canada's largest IT Company as a "Lead Data Consultant - Google Cloud Platform(GCP)" in our Banking Services Division.

**Together, as owners, let’s turn meaningful insights into action.**

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.

**Your future duties and responsibilities**
- 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 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.
- 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.

**Required qualifications to be successful in this role**
- 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

Nice-To-Have Skills:

- Understanding of Wealth business line and the various data domains required for building an end to end solution

Education and Other requirements:

- Degree in Computer Science or related field
- Active Google Cloud Data Engineer certification or Google Professional Cloud Architect certification

LI-BN



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