Closed listing
Data Engineer/Technical Architect
- Toronto, ON, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Total Experience: 6 - 8 years
Role Description: Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirement and also architect modern data warehouse, data lakes, and cloud-based data plat form using ETL, Azure, ADF, Databricks, big data and AWS.
Required Skill Set:
- Minimum 4-5 years of experience in ETL, Azure, ADF, Databricks, Bigdata, AWS.
- Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirement.
- Develop conceptual, logical, and physical data models to support operational and anlytical system.
- Architect modern data warehouses, data lakes, and cloud-based data.
- Define data integration strategies, including ETLELT pipelines, batch processing and real-time.
- Evaluate and recommend data technologies platforms, and architectural solution based on business needs.
More about this job
Responsibilities
Design and implement scalable, secure enterprise data architectures aligned with business requirements, including modern data warehouses, data lakes, and cloud-based data platforms. Define data integration strategies and develop conceptual, logical, and physical data models for operational and analytical systems.
Requirements
The role requires 6–8 years of total experience, including at least 4–5 years working with ETL, Azure, Azure Data Factory, Databricks, big data, and AWS. Candidates should be able to design data architectures and models, build batch and real-time integration pipelines, and evaluate data technologies and platforms against business needs.
Skills
- ETL
- Azure
- Azure Data Factory
- Databricks
- Big Data
- AWS
- Enterprise Data Architecture
- Data Modeling
- Data Warehousing
- Data Lakes
- Data Integration
- ELT
- Batch Processing
- Real-Time Processing
- Cloud Data Platforms
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- ETL
- ELT
- Azure
- Azure Data Factory
- Databricks
- Big Data
- AWS
- Enterprise Data Architecture
- Data Architecture
- Data Modeling
- Conceptual Data Models
- Logical Data Models
- Physical Data Models
- Data Warehouses
- Data Lakes
- Cloud-Based Data Platforms
- Data Integration
- Batch Processing
- Real-Time Processing
- Operational Systems
- Analytical Systems
- Technology Evaluation
- Platform Evaluation
- Architectural Solutions