Contract jobs in Vaughan, Ontario

Find contract jobs in Vaughan, Ontario and nearby towns within 25 km. Read the full details and apply.

Newest first

Within 25 km of Vaughan

Added 18 days ago
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Arkhya Tech Inc.

Senior Data Engineer

Toronto, ON, Canada

Contract

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Contract
Apply by: Nov 13, 2026
Experience: · 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
Posted: Oct 14, 2026

Original job description

Role: Senior Data Engineer

Location: Ottawa/Toronto (Hybrid)

Must have : SQL+ Datawarehouse+ Banking domain

Job Description:

This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise.

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 - 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.

Education

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

Master’s degree strongly preferred

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More about this job

Responsibilities

Build, optimize, and monitor data pipelines and Databricks Spark workloads for large-scale data ingestion, transformation, and analysis while maintaining data quality, security, and governance. Design enterprise data warehouse solutions, perform data modeling and SQL development, troubleshoot performance issues, and review code for quality and standards compliance.

Requirements

Requires at least five years of SQL Server development with large datasets and at least five years developing and deploying ETL pipelines using Databricks and PySpark. Candidates should have strong Python, SQL, data warehousing, dimensional modeling, and cloud data platform experience; a bachelor’s degree in engineering or computer science is the minimum, with a master’s degree strongly preferred.

Skills

SQL
Python
PySpark
Databricks
Data Warehousing
ETL Pipelines
Data Modeling
Dimensional Modeling
Delta Lake
Apache Spark
Cloud Data Warehousing
Data Integration
Streaming Data
SQL Server
Data Quality
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
PySpark
Databricks
Apache Spark
Delta Lake
SQL Server
Data Warehousing
Enterprise Data Warehouse
ETL
Data Pipelines
Data Integration
Data Modeling
Dimensional Modeling
OLTP
OLAP
Facts and Dimensions
Cloud Data Platform
Cloud Data Warehouse
Microsoft Synapse
Google BigQuery
Amazon Redshift
Snowflake
Streaming Data
Event-Based Processing
Structured Data
Semi-Structured Data
Unstructured Data
Stored Procedures
Data Governance

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