Cloud Data Engineer
Location:
Toronto, ON
Work Model:
Hybrid
Employment Type:
Full-Time Permanent (FTE)
Job Summary
We are seeking an experienced
Cloud Data Engineer
to design, develop, and maintain scalable cloud-based data platforms and pipelines. The ideal candidate will have strong experience in
cloud data engineering, ETL/ELT, data lakes, data warehouses, real-time and batch processing , and cloud-native data services across AWS, Azure, or Google Cloud.
Key Responsibilities
Design, develop, and maintain scalable
batch and real-time data pipelines .
Build, implement, and manage cloud-based data platforms using
AWS, Microsoft Azure, or Google Cloud Platform (GCP) .
Develop robust
ETL/ELT processes
to extract, transform, and load data from multiple structured and unstructured sources.
Design and optimize
data lakes, data warehouses, and data marts .
Implement cloud-native data integration solutions using modern data engineering and big data technologies.
Ensure
data quality, integrity, security, privacy, and compliance
across enterprise data platforms.
Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance.
Investigate and resolve production data issues and pipeline failures.
Collaborate with
Business Analysts, Data Scientists, Data Architects, Application Developers, and business stakeholders
to understand and implement data requirements.
Optimize data storage, processing, and compute resources for
performance and cost efficiency .
Implement
CI/CD, automation, and Infrastructure as Code (IaC)
practices for cloud data platforms.
Manage
metadata, data lineage, data cataloging, and data governance
processes.
Develop solutions that support
reporting, analytics, AI/ML, and Business Intelligence
initiatives.
Contribute to cloud data architecture, modernization, and continuous improvement initiatives.
Required Skills & Experience
Strong hands-on experience in
Cloud Data Engineering .
Experience building and managing data solutions on one or more major cloud platforms:
AWS
Microsoft Azure
Google Cloud Platform (GCP)
Strong experience with
ETL/ELT development and data integration .
Experience designing and implementing
data lakes, data warehouses, and data marts .
Hands-on experience developing
batch and real-time/streaming data pipelines .
Strong knowledge of data modeling, data processing, and data engineering best practices.
Experience with cloud-native data services and
big data technologies .
Experience with data quality, data validation, security, and governance.
Strong troubleshooting and performance optimization skills.
Experience with
CI/CD and Infrastructure as Code (IaC) .
Proficiency in SQL and experience with at least one programming language such as
Python, Java, or Scala .
Preferred Qualifications
Experience with distributed data processing technologies such as
Apache Spark, Kafka, or similar platforms .
Experience with cloud data warehouse technologies such as
Snowflake, Databricks, Amazon Redshift, Azure Synapse, or BigQuery .
Experience with data orchestration tools such as
Apache Airflow, Azure Data Factory, AWS Glue, or similar technologies .
Experience with
Terraform, CloudFormation, or ARM/Bicep
for Infrastructure as Code.
Knowledge of
data cataloging, metadata management, data lineage, and enterprise data governance .
Experience supporting
AI/ML and advanced analytics
use cases.
Relevant AWS, Azure, or Google Cloud certifications are an asset.
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