Electrical Design Engineer

Nordson; Toronto; Remote; CAD 32.000 - 37.000; Vollzeit

Zusammenfassung

Nordson is seeking a senior data architect/engineer to design scalable, enterprise-grade data platforms using Snowflake and AWS. The role focuses on data ingestion, transformation, and consumption across complex systems, leveraging AWS Glue, Apache Airflow, and dbt to build robust ETL/ELT pipelines.

The position requires deep expertise in data modeling, governance, and performance optimization, with a preference for Insurance-domain experience and a strong SQL/Python skill set.

Qualifikationen

• 8+ years of experience in Data Architecture, Data Engineering, or enterprise data platform development.
• Strong expertise in Snowflake architecture, data warehousing, and enterprise-scale data platforms.
• Hands-on experience with AWS cloud services and designing scalable, cloud-based data solutions.
• Strong experience with AWS Glue, Apache Airflow, and dbt for data integration and transformation.
• Expertise in data modeling, ETL/ELT architecture, data pipelines, and data integration patterns.
• Strong proficiency in SQL and Python for data processing and automation.
• Experience designing secure, scalable, and high-performance data architectures.
• Experience within the insurance domain is preferred.

Aufgaben

• Design and implement scalable enterprise data architectures using Snowflake and AWS.
• Develop architectures for data ingestion, transformation, integration, and consumption across enterprise systems.
• Design and optimize ETL/ELT pipelines using AWS Glue, Apache Airflow, dbt, and related technologies.
• Define data models, architecture standards, integration patterns, and technical best practices.
• Optimize Snowflake environments for performance, scalability, security, and cost efficiency.
• Collaborate with engineering, analytics, and business teams to translate data requirements into effective technical solutions.
• Provide technical leadership and guidance to data engineering teams throughout the implementation process.
• Ensure data solutions meet enterprise standards for security, governance, reliability, and performance.

Kenntnisse

SQL

Python

Data modelling

ETL/ELT

Data pipelines

Cloud architecture

Tools

Snowflake

AWS

AWS Glue

Apache Airflow

dbt

Jobbeschreibung

Data Architecture, Data Engineering, or enterprise data platform development. Strong expertise in Snowflake architecture, data warehousing, and enterprise-scale data platforms. Hands‑on experience wi... Show more

Remote

Full-time

CA$23.00–CA$27.00 hourly

Requirements

• 8+ years of experience in Data Architecture, Data Engineering, or enterprise data platform development.
• Strong expertise in Snowflake architecture, data warehousing, and enterprise-scale data platforms.
• Hands-on experience with AWS cloud services and designing scalable, cloud-based data solutions.
• Strong experience with AWS Glue, Apache Airflow, and dbt for data integration and transformation.
• Expertise in data modeling, ETL/ELT architecture, data pipelines, and data integration patterns.
• Strong proficiency in SQL and Python for data processing and automation.
• Experience designing secure, scalable, and high-performance data architectures.
• Experience within the insurance domain is preferred.

Responsibilities

• Design and implement scalable enterprise data architectures using Snowflake and AWS.
• Develop architectures for data ingestion, transformation, integration, and consumption across enterprise systems.
• Design and optimize ETL/ELT pipelines using AWS Glue, Apache Airflow, dbt, and related technologies.
• Define data models, architecture standards, integration patterns, and technical best practices.
• Optimize Snowflake environments for performance, scalability, security, and cost efficiency.
• Collaborate with engineering, analytics, and business teams to translate data requirements into effective technical solutions.
• Provide technical leadership and guidance to data engineering teams throughout the implementation process.
• Ensure data solutions meet enterprise standards for security, governance, reliability, and performance.