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Added 27 mins ago
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Full-time
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Added 14 hours ago
Senior Data Engineer (Databricks)
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8+ years of experience in Data Engineering and Data Platform development.
Added 14 hours ago
Senior Data Engineer (Databricks)
KTek Resourcing
Toronto, ON
Contract
8+ years of experience in Data Engineering and Data Platform development.
Added 14 hours ago
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Senior AI Engineer - AI Platform & ML Engineering IT-26-229
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Senior Cloud Security Engineer
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KTek Resourcing

Senior Data Engineer (Databricks)

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 23, 2026
Experience: 8+ years of experience in Data Engineering and Data Platform development.
Posting language: English
Posted: Sep 23, 2026

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Original job description

Title : Senior Data Engineer (Databricks)

Location: Toronto, ON Hybrid

Position Type: Full Time

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Build and optimize data solutions using Databricks, PySpark, and Spark SQL.
Implement data ingestion frameworks from various source systems including databases, APIs, files, and streaming platforms.
Develop and maintain data lakehouse architectures leveraging Databricks best practices.
Design and implement Medallion Architecture (Bronze, Silver, Gold layers) for enterprise data platforms.
Collaborate with business stakeholders, data scientists, architects, and application teams to understand data requirements.
Optimize Spark jobs and data pipelines for performance, scalability, and cost efficiency.
Implement data quality, governance, security, and monitoring frameworks.
Support AI/ML initiatives by preparing and engineering datasets for model development and deployment.
Develop CI/CD pipelines and automate deployment processes for data engineering workloads.
Participate in architecture reviews and establish data engineering standards and best practices.
Mentor junior engineers and provide technical leadership across projects.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related field.
8+ years of experience in Data Engineering and Data Platform development.
Strong hands-on experience with Databricks and Apache Spark.
Proficiency in Python, PySpark, and SQL.
Experience with cloud platforms such as:
Microsoft Azure (preferred)
AWS
Google Cloud Platform
Experience with Delta Lake, Unity Catalog, and Databricks workflows.
Strong understanding of Data Lake, Data Warehouse, and Lakehouse architectures.
Experience working with large-scale distributed data processing systems.
Knowledge of data modeling, partitioning, indexing, and query optimization techniques.
Experience with Git, CI/CD pipelines, and DevOps practices.

Preferred Qualifications

Databricks Certified Data Engineer Associate or Professional Certification.
Experience with Azure Data Factory, Synapse Analytics, or equivalent cloud-native services.
Experience with streaming technologies such as Kafka, Event Hubs, or Spark Streaming.
Exposure to AI/ML platforms, MLOps, and Generative AI solutions.
Experience working in Insurance, Financial Services, or Enterprise Digital Transformation programs.

Technical Skills

Category Skills
Data Engineering Databricks, Apache Spark, PySpark, Spark SQL
Programming Python, SQL, Scala (Preferred)
Cloud Azure, AWS, GCP
Data Platforms Delta Lake, Unity Catalog, Data Lakehouse
ETL/ELT Azure Data Factory, Databricks Workflows, Airflow
DevOps Git, Azure DevOps, Jenkins, CI/CD
Streaming Kafka, Spark Streaming, Event Hubs
Databases SQL Server, PostgreSQL, Oracle, Snowflake

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More about this job

Responsibilities

Design, build, and optimize scalable data pipelines and lakehouse solutions using Databricks, Spark, and Medallion Architecture. Establish data quality, governance, security, monitoring, and deployment practices while supporting AI/ML initiatives and providing technical leadership and mentorship.

Requirements

Requires a bachelor's or master's degree in a related field, at least 8 years of data engineering experience, and strong hands-on expertise with Databricks, Apache Spark, Python, PySpark, and SQL. Candidates should also have cloud platform, lakehouse, Delta Lake, Unity Catalog, distributed processing, data optimization, Git, and CI/CD experience; relevant certifications and streaming or AI/ML exposure are preferred.

Skills

Databricks
Apache Spark
PySpark
Spark SQL
Python
SQL
Azure
Delta Lake
Unity Catalog
ETL/ELT Pipelines
Lakehouse Architecture
Data Modeling
CI/CD
Data Governance
Kafka
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Apache Spark
PySpark
Spark SQL
Python
SQL
Scala
Microsoft Azure
AWS
Google Cloud Platform
Delta Lake
Unity Catalog
Data Lakehouse
Medallion Architecture
ETL/ELT
Azure Data Factory
Synapse Analytics
Airflow
Git
Azure DevOps
Jenkins
CI/CD
Kafka
Spark Streaming
Event Hubs
MLOps
Generative AI
SQL Server
PostgreSQL
Snowflake

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