CTC007250 - Data Engineer

Industry Sector: Telecommunications
Job Type: Contract
Duration: Eight months
Work Mode: On Site


Locations to consider - Mississauga (Creekbank), Montreal

Interviews in English, 1. Short HackerRank test 2. Technical interview (preferably in person)

3 days in office mandatory

Day to day Data Engineering role.

Report directly to the data engineering lead.

Data pipeline/workflow development in GCP, Hadoop, Kubernetes, ELK.

Supporting existing production applications.

Assist in connectivity and environment development.

The candidate will need to understand the requirements and work mostly independently to implement the specifications.

Top 3 skill sets -

1. Hadoop/Spark experience

2. Public Cloud/GCP experience

3. Kubernetes/containers

Projects - Cloud Data Migration

Hire for ASAP (May 8)

Potential to hire full time - yes

The main project work is Data Migration to GCP. Where we are migrating our existing workflows/datasets from on-prem to GCP. This covers different lift-and-shift projects and some net new data engineering pipelines and projects to be executed in the cloud. But as highlighted in the description the candidate must be able to support existing on-prem data pipelines in Hadoop, Spark, Kubernetes, ElasticSearch, etc. And assist our cloud journey with connectivity requests and environment setup. EDP is the name of our team: Enterprise Data Platforms

Job Description:

Responsible for designing network solutions in collaboration with network and technology teams.

Produce technical engineering documentation including technical specifications and planning documents.

Investigate, recommend and implement resolutions of network operational issues related to network design requiring engineering support.

Qualifications include:

Undergraduate Degree or Certificate;

Demonstrated experience providing network design and architecture

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