Jobs in Markham

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Within 25 km of Markham

Added 12 mins ago
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Maarut

RQ11486 - DataOps/Cloud Data Engineer - Senior

Toronto, ON, Canada

Contract

Within 25 km of Markham · About 20 km from the city centre

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Job details

Job type: Contract
Experience: Mandatory Skills and Experience (8+ years experience):
Posted: Oct 16, 2026

Original job description

Responsibilities:

Designing and developing data pipelines from source to end user
Optimizing data pipelines

General Skills:

Experience with Cloud data platforms, data management and data exchange tools and technologies
Experience with Commercial and opensource data and database development and management and specializing in data storage setting and managing cloud Data As a Service (DaaS). application Database as a Service (DBaaS), Data Warehouses as a Service (DWaaS), and other storage platforms (both in the cloud and on-premise).
Experience with Data pipeline and workflow development, orchestration, deployment, and automation and specializing in programming and pipelines to create and managing the dataflow and movement of data.
Experience with Cloud data engineer must be familiar and experienced with different programming languages and be able to integrate with many different platforms to create data pipelines, automate tasks, and write scripts.
Experience in DataOPS principle, best practice, and implementation and Agile project development and deployment
Experience in Continuous Integration/Continuous Development/Deployment (CI/CD) and Data provisioning Automation
Experience with digital product, data analysis, data exchange, data provisioning, and data security
Extensive expert experience in designing/developing and implementing data conversation and migration of VLD (Very large Data) of Online analytical processing (OLAP) and online transaction processing (OLTP) environments to Cloud Software-as-a-service (SaaS), Platform-as-a-service (PaaS) and Infrastructure-as-a-service (IaaS) environments.
Experience in design, development and implementation of fact/dimension model, data mapping, data warehouse, data lake and data lakehouse for enterprise
Experience managing Cloud Data services for project delivery, including storage, repositories, Data Lake, Data Lakehouse, key vault, virtual machine, disk, etc.
Experience with structured, semi-structured, unstructured data collection, ingestion, provisioning and exchange technological development of enterprise data warehouse and data lake and data lakehouse solutions and operational support.
Experience with DataOPS performance monitoring and tuning
Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; presentation skills; interpersonal and negotiation skills
A team player with a track record for meeting deadlines

Requirements

Experience and Skill Set Requirements:

Must Haves:

Design, build, automate and optimize complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT) and equivalent.
Development of unified data platforms using Databricks and Unity catalog or its equivalent.
Relational databases (Oracle, MySQL, SQL Server), data modelling (relational & dimensional), advanced SQL, query optimization, data replication, administration.
 Advanced SQL skills (PL/SQL, TSQL).
Big Data processing Frameworks (PySpark).
Proficient in creating Azure Data Factory pipelines for copy activity and custom data pipelines in Databricks with CI CD (Azure DevOPS Git Integration) .
Data migration and data integration across different platforms Oracle to Azure Data Lake, Oracle to Databricks, Oracle to Microsoft Fabric.

Skill Set Requirements:

Mandatory Skills and Experience (8+ years experience):

Design, build, automate and optimize complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT) and equivalent.
Development of unified data platforms using Databricks and Unity catalog or its equivalent.
Relational databases (Oracle, MySQL, SQL Server), data modelling (relational & dimensional), advanced SQL, query optimization, data replication, administration.
 Advanced SQL skills (PL/SQL, TSQL).
Big Data processing Frameworks (PySpark).
Proficient in creating Azure Data Factory pipelines for copy activity and custom data pipelines in Databricks with CI CD (Azure DevOPS Git Integration) .
Data migration and data integration across different platforms Oracle to Azure Data Lake, Oracle to Databricks, Oracle to Microsoft Fabric.

Desirable Skills and Experience:

Data lake design and development with focus on extracting, transforming data coming from various data sources and loading into Lakehouse in medallion architecture.
Advanced skills and hands-on experience with Oracle databases, Azure SQL Server and Azure Data Factory.
Cloud technologies (Azure, Google, AWS).
PL/SQL for data extraction, transformation, and loading, initial setup and other ETL experience management and support, such as troubleshooting, performance tuning, failover and recovery.
Scripting languages (Python, Unix shell, Scala).

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More about this job

Responsibilities

Design, develop, automate, and optimize data pipelines and ETL/ELT processes, including unified cloud data platforms and enterprise data lakehouse solutions. Migrate and integrate large volumes of data across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric while supporting performance monitoring and tuning.

Requirements

Requires at least 8 years of experience with Databricks, Delta Live Tables or equivalent, Unity Catalog or equivalent, relational databases, advanced SQL, and PySpark. Candidates must also have experience building Azure Data Factory and Databricks pipelines with CI/CD, and migrating or integrating data across platforms.

Skills

Databricks
Delta Live Tables
Unity Catalog
ETL/ELT
Advanced SQL
PL/SQL
T-SQL
PySpark
Azure Data Factory
Azure DevOps
Data Modeling
Data Migration
Data Integration
Oracle
Microsoft Fabric
Data Lakehouse

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Delta Live Tables
Unity Catalog
ETL/ELT
Azure Data Factory
Azure DevOps
CI/CD
Oracle
MySQL
SQL Server
Azure SQL
Microsoft Fabric
Azure Data Lake
PySpark
Python
Unix Shell
Scala
PL/SQL
T-SQL
Data Modeling
Dimensional Modeling
Data Replication
Data Migration
Data Integration
Data Lakehouse
Medallion Architecture
Cloud Data Platforms
DataOps
Performance Tuning
Google Cloud

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