RQ11099 - Sr. DataOps/Cloud Data Engineer

Source Code

Toronto

On-site

CAD 117,000 - 141,000

Full time

14 days+
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Job summary

Source Code is seeking a Sr. DataOps/Cloud Data Engineer in Toronto for onsite work at 5700 Yonge St. The role focuses on building data pipelines and data models for warehouses and lakehouses using Databricks, AWS Glue, and related tools.

Collaboration across teams will be key. The position requires expertise with data lakehouses, cloud storage, and multiple formats (CSV/JSON/XLSX). Compensation aligns with market rates for senior data engineers in Toronto, with a strong emphasis on exceptional

Qualifications

  • Experience with data lakehouse solutions and Databricks (Delta Lake).
  • Experience with CSV/JSON/XLSX and relational databases and cloud storage.
  • Experience using AWS services: Glue, Step Functions, Lambda, S3.
  • ETL/ELT design and data integration experience.

Responsibilities

  • Design, develop, test, implement, and troubleshoot data pipelines using Databricks, Azure Data Factory, AWS Glue.
  • Develop data models for data warehouses and lakehouses.

Skills

Data lakehouse
Databricks
ETL/ELT
Data Pipelines
SQL
Cloud storage
Relational databases
Python/Scala

Tools

Databricks
AWS Glue
Azure Data Factory
Informatica IDMC
Lambda
S3
Step Functions
Delta Lake

Job description

About the job RQ11099 - Sr. DataOps/Cloud Data Engineer

ONSITE 5 days -5700 Yonge St. Toronto'

Security Level: CRJMC

MUST HAVES:
  • 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, StepFunctions, Lambda, S3
  • Extract/Transform/Load data using tools such as Informatica IDMC
Responsibilities:

Design, develop, test, implement, and troubleshoot:

  • data pipelines using various tools such as Databricks, Azure Data Factory, AWS Glue
  • data models for data warehouses and lakehouses
AI Disclaimer:

Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.

Note:

The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.

  • $85.35/hr - $102.42/hr Inc.
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