AWS Data Engineer — Scalable Data Pipelines & Analytics

Compunnel, Inc.; Toronto; Vor Ort; CAD 90.000 - 120.000; Vollzeit

Zusammenfassung

A leading tech company in Toronto is seeking an experienced AWS Data Engineer to design and implement scalable data pipelines and maintain cloud infrastructure. The ideal candidate will have expertise in AWS services like Glue, Redshift, and Lambda, along with proficiency in Python and SQL. This role involves collaboration with data teams to optimize data models and ensure compliance with data governance practices.

Qualifikationen

• Proficiency in AWS services such as Redshift, Glue, RDS, Lambda, and Airflow.
• Experience with implementing CI/CD pipelines for data engineering workflows.
• Strong understanding of data modeling, warehousing, and ETL processes.

Aufgaben

• Design and implement scalable ETL/ELT pipelines using AWS Glue and Lambda.
• Integrate data from diverse sources into data lakes and data warehouses.
• Monitor data pipelines and troubleshoot issues to ensure reliability.

Kenntnisse

Python

SQL

PySpark

AWS services (S3, Glue, Lambda, Redshift, RDS, Athena)

Orchestration tools (Apache Airflow, MWAA)

DevOps tools (CDK, CI/CD, Git, Terraform)

Tools

Terraform

CloudFormation

Data visualization tools (e.g., Power BI)

Jobbeschreibung

A leading tech company in Toronto is seeking an experienced AWS Data Engineer to design and implement scalable data pipelines and maintain cloud infrastructure. The ideal candidate will have expertise in AWS services like Glue, Redshift, and Lambda, along with proficiency in Python and SQL. This role involves collaboration with data teams to optimize data models and ensure compliance with data governance practices.