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Cloud Data Engineer

Symbiotic Digital Toronto, Ontario, Canada

Staffing and Recruiting · 2-10 employees

Oct 19
data-engineer Senior (5-10 yrs) Contractor Canada
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About the role

The Cloud Data Engineer will design, build, and optimize enterprise-scale data pipelines and cloud-based data platforms. They will also implement DataOps practices, manage data storage solutions, and collaborate with stakeholders to deliver scalable data integration initiatives.

What they look for

Cloud Data Engineering Databricks Azure Data Factory SQL PySpark Data Modeling ETL/ELT DataOps CI/CD Azure DevOps Oracle Data Migration Unity Catalog Python Scala Data Warehousing

Requirements

Candidates must have over 8 years of experience in cloud data engineering, including expertise in Databricks, SQL, and ETL/ELT processes. Proficiency in relational data modeling, Big Data frameworks like PySpark, and cloud platforms such as Azure is required.

Full description

Position: Cloud Data Engineer

Location: Toronto, ON

Job ID#: RQ11486

Duration: 6 Months

Role Overview

We are seeking an experienced Cloud Data Engineer to design, build, optimize, and support enterprise-scale cloud data solutions. The successful candidate will play a key role in developing end-to-end data pipelines, implementing modern DataOps practices, and enabling scalable cloud-based data platforms that support business and operational objectives.

This position requires expertise in cloud data engineering, data migration, ETL/ELT development, automation, data warehousing, and large-scale data transformation initiatives.

Key Responsibilities

  • Design

and develop data pipelines from source systems through to end-user consumption.

  • Optimize

and maintain high-performance data pipelines.

  • Develop

and manage cloud-based data platforms, data storage, and data exchange solutions.

  • Build,

orchestrate, deploy, and automate data workflows and pipelines.

  • Develop

integrations across multiple platforms using various programming languages and scripting techniques.

  • Apply

DataOps principles, best practices, and Agile delivery methodologies.

  • Implement

Continuous Integration and Continuous Deployment (CI/CD) processes and automation.

  • Support

data provisioning, data exchange, and data security initiatives.

  • Design

and implement large-scale data migration and transformation solutions across cloud environments.

  • Develop

fact/dimension models, enterprise data warehouses, data lakes, and data lakehouse architectures.

  • Manage

cloud data services including storage repositories, data lakes, lakehouses, key vaults, virtual machines, and related infrastructure.

  • Support

structured, semi-structured, and unstructured data ingestion, provisioning, and data exchange processes.

  • Monitor,

troubleshoot, tune, and optimize DataOps solutions.

  • Collaborate

with technical and business stakeholders to deliver scalable data solutions.

Mandatory Skills & Experience (8+ Years)

  • Design,

build, automate, and optimize complex ETL/ELT processes using Databricks, Delta Live Tables (DLT), or equivalent technologies.

  • Development

of unified data platforms using Databricks and Unity Catalog or equivalent.

  • Strong

experience with relational databases including Oracle, MySQL, and SQL Server.

  • Expertise

in relational and dimensional data modeling.

  • Advanced

SQL development and query optimization.

  • Experience

with data replication and database administration.

  • Advanced

SQL skills including PL/SQL and T-SQL.

  • Experience

working with Big Data processing frameworks such as PySpark.

  • Proficiency

in Azure Data Factory pipeline development.

  • Experience

building custom Databricks pipelines integrated with CI/CD processes and Azure DevOps Git Integration.

  • Experience

with data migration and integration across platforms including:

  • Oracle

to Azure Data Lake

  • Oracle

to Databricks

  • Oracle

to Microsoft Fabric

Desired Skills & Experience

  • Data

lake and lakehouse architecture design utilizing Medallion Architecture.

  • Advanced

experience with Oracle databases, Azure SQL Server, and Azure Data Factory.

  • Experience

with cloud platforms including Azure, AWS, and Google Cloud Platform (GCP).

  • Strong

PL/SQL development skills for ETL solutions.

  • Experience

troubleshooting, performance tuning, failover, recovery, and production support.

  • Experience

with Python, Unix Shell Scripting, and Scala.

Additional Information

  • Hybrid

work arrangement.

  • Candidates

should be available during standard business hours.

  • Strong

analytical, problem-solving, communication, and stakeholder management skills are required.

  • Proven

ability to work independently as well as within collaborative project teams.

  • Experience

delivering enterprise data warehouse, data lake, and cloud modernization initiatives is highly desirable.

About Symbiotic Digital.

Symbiotic Digital provides the IT Experts you need that solve problems and get things done. See what the top 2% in their field can do for you. (Symbiotic Digital is a division of Symbiotic Group Inc.)

We serve customers in two ways, we provide:

  • Digital

Experts: IT Consulting expertise. Bright Minds That Produce Proven Results

  • Recruitment:

Find The Right People You Need

Serving IT & Business leaders, Symbiotic Digital provides a business system that enable us to provide the Expert Technical staff needed to solve challenging business and IT problems. IT leaders in the most reputable organizations in Canada have relied on Symbiotic Digital to help them staff difficult assignments with proven Experts uniquely evaluated by our proven QMS- Quality Management System Staff Development Model. We are a 100% Indigenous owned company.

Learn more online at https://www.symbioticgroup.com/home-sd/.

Please submit your most recent resume to: RecDep@symbioticgroup.com

View All Jobs online at: https://www.symbioticgroup.com/view-jobs/

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