Cloud Data Engineer

Interested in this role?Symbiotic Group Inc. • Toronto, Ontario
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Website Symbiotic Group Inc.

Questions we hear and address……. • How do I build a repeatable sales process that builds pipeline? • How do I build a digital marketing program that gets results? • What steps do I need to take to feel more in control o…

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:

  1. Digital
    Experts: IT Consulting expertise. Bright Minds That Produce Proven Results
  2. 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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