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

- Robust 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.

📌 Cloud Data Engineer | Toronto, ON | Fulltime FTE
🏢 AceStack
📍 Toronto