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DataOps/Cloud Data Engineer - Seniorfreelance.ca • Toronto, Canada
DataOps/Cloud Data Engineer - Senior

DataOps/Cloud Data Engineer - Senior

freelance.ca • Toronto, Canada
30+ days ago
Job type
  • Full-time
Job description
If you are interested kindly send the following documents to [email removed] by Wednesday, Jun 17, 10:00 AM EST if that interests you and matches your profile.

• Updated Resume in word format (Mandatory)

• References (Mandatory)

• Expected hourly rate (Mandatory)

• Visa Status (Mandatory)

• LinkedIn ID (Mandatory)

Client: Ministry of Public and Business Service Delivery and Procurement

Work Location: 5700 Yonge St., Toronto Ontario, Onsite

Estimated Start Date: [phone removed]

Estimated End Date: [phone removed]

#Business Days: 457.00

Extension: Probable after the initial mandate

Hours per day or Week: 7.25 hours per day

Security Level: CRJMC

Must Have

• Data engineering (pandas, spark)

• Data Lakehouse solutions such as Databricks (Delta Lake).

• Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data

• Experience using AWS Services such as Glue, Step Functions, Lambda, S3

• Extract/Transform/Load data using tools such as Informatica IDMC

RoleOverview

Responsibilities

Design, Develop, Test, Implement, And Troubleshoot

• data pipelines using various tools such as Databricks, Azure Data Factory, AWS Glue

• complex data transformation procedures

• data models for data warehouses and lake houses

Experience And Skill Set Requirements

Data Engineering Experience - (40%)

• Programming & scripting: Python, SQL, Linux shell, PowerShell.

• Data manipulation/analysis using pandas and spark.

• Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data.

Cloud Experience - (25%)

• AWS and/or Azure services.

• Cloud data warehouse solutions such as AWS Redshift.

• Data Lakehouse solutions such as Databricks (Delta Lake).

• Data processing orchestration/automation.

Data Warehouse - (25%)

• ETL tools (such as Azure Data Factory, AWS Glue) as well as cloud agnostic tools such as Informatica IDMC.

• Data modeling & architecture: relational and dimensional modeling.

• Data reporting/visualization.

Other Skills - (5%)

• Full SDLC from requirements gathering, design, implementation, testing to deployment and production support.

• Project management (agile/scrum and waterfall).

• Change and Incident management.

• Communication, presentation and negotiation skills.

• Consulting, problem-solving and decision-making skills.

Public Sector - (5%)

• Experience working in OPS and/or public sector in general.

Note

Assignment Type: This position is listed as Onsite; the resource is expected to work 7.25 hours per calendar day between the standard working hours of 8:00-5:00 PM (excluding lunch breaks) every Monday to Friday inclusive at the identified OPS office location.

• 5 days Onsite
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DataOps/Cloud Data Engineer - Senior • Toronto, Canada

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