Data Engineer

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 12, 2026
Posting language: English
Posted: Oct 13, 2026

Original job description

Role : IT Cloud Data Engineer

Location : Ottawa / Toronto (Hybrid)

Duration: Long term Project

The Cloud Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and Azuer cloud platforms. This role involves working with large datasets, optimizing data workflows, and ensuring secure, efficient data storage and processing in cloud environments.

Major Responsibilities:

Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.
Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data.
Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.
Proficient in developing programs in Python and SQL
Experience with Data warehouse Dimensional data modeling.
Working with event based/streaming technologies to ingest and process data.
Working with structured, semi structured and unstructured data.
Optimize Databricks jobs for performance and scalability to handle big data workloads.
Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.
Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.
Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.
Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Skills:

5+ years Python coding experience.
5+ years - SQL Server based development of large datasets
5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.
Experience with Cloud based data architectures, messaging, and analytics.
Cloud certification(s).
Any experience with Airflow is a Plus.

Education

Minimally a BA degree within an engineering and/or computer science discipline

Master’s degree strongly preferred

Apply About employer

More about this job

Responsibilities

Design, build, and optimize scalable data pipelines and cloud data platforms, including developing and tuning Databricks Spark programs for large datasets. Monitor and troubleshoot data jobs, maintain data quality and security, and ensure solutions meet governance, performance, and coding standards.

Requirements

Requires at least five years of Python, SQL Server development, and experience deploying ETL pipelines with Databricks PySpark, along with data warehousing and data modeling expertise. A bachelor's degree in engineering or computer science is the minimum; a master's degree is strongly preferred, and cloud certifications and Airflow experience are advantageous.

Skills

Python
SQL
SQL Server
Databricks
PySpark
ETL Pipelines
Data Pipelines
Delta Lake
Data Warehousing
Dimensional Data Modeling
Data Integration
Cloud Data Architecture
Streaming Technologies
Data Governance
Enterprise Data Warehouse Design
Airflow

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
SQL Server
Databricks
PySpark
Apache Spark
Delta Lake
ETL
Data Pipelines
Data Ingestion
Data Transformation
Data Warehousing
Enterprise Data Warehouse
Dimensional Modeling
OLTP
OLAP
Cloud Data Platforms
Cloud Data Architecture
Azure
Synapse
BigQuery
Redshift
Snowflake
Streaming Data
Data Integration
Data Governance
Data Security
Airflow
Cloud Certification
Data Migration

Report this job