At a Glance
- Tasks: Design and optimize cloud data solutions while developing end-to-end data pipelines.
- Company: Join Symbiotic Digital, a 100% Indigenous-owned tech company with a collaborative spirit.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and career advancement.
- Why this job: Make an impact by working on innovative cloud data projects that drive business success.
- Qualifications: 8+ years in cloud data engineering with strong ETL/ELT and SQL skills.
The predicted salary is between 121500 - 148500 $ per year.
Location: Toronto, ON
Job ID#: RQ11486
Duration: 6 Months
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.
- 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 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).
- 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. We serve customers in two ways: Digital Experts: IT Consulting expertise. Recruitment: Find The Right People You Need. Serving IT & Business leaders, Symbiotic Digital provides a business system that enables us to provide the Expert Technical staff needed to solve challenging business and IT problems. We are a 100% Indigenous owned company.
Cloud Data Engineer in Toronto employer: Symbiotic Group
At Symbiotic Digital, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Lead Full Stack Developer in Toronto, you will enjoy competitive benefits, continuous learning opportunities, and the chance to work with cutting-edge technologies in a vibrant city known for its tech scene. Join us to make a meaningful impact while advancing your career in a supportive environment that values creativity and excellence.
