Senior ETL Developer
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
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- Posting language
- English
- Posted
Original job description
Our Toronto based client is hiring an Sr. ETL Developer for a 9-month contract opportunity.
Must Have
- Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI
- Experience with Databricks Platform
- Experience with the Amazon Web Services (AWS) suite of technology including: Amazon Aurora, Amazon Relational Database Search, Glue, OpenSearch, etc.
- Experience with developing data extraction, transformation, and load programs (daily and initial load) functionality on a wide range of data repositories (structured and semi-structured files, relational and multi-dimensional data stores)
- Experience with developing, implementing, and maintaining schedule/dependency logic for Extract Transform Load (ETL) scripts
- Experience with data integration, data cleansing, and data analytics
Key Responsibilities
- Designs, develops, and maintains database backend and ETL applications for Data Warehouse and Business Intelligence solutions.
- Uses knowledge of ETL languages and development techniques to build and expand application functionality by writing high quality code using appropriate patterns.
- Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities.
- Tests and debugs applications and ensures that software is properly documented.
Please apply today!
More about this job
Responsibilities
Design, develop, and maintain database backends and ETL applications for data warehouse and business intelligence solutions. Build and expand data pipelines, write high-quality code, and test, debug, and document applications.
Requirements
Requires experience with Microsoft Azure data technologies, Power BI, Databricks, and AWS services, as well as developing ETL programs for structured and semi-structured data repositories. Candidates should also have experience with ETL scheduling and dependencies, data integration, data cleansing, and data analytics.
Skills
- Azure Data Factory
- Azure SQL Database
- Azure Data Lake
- Power BI
- Databricks
- Amazon Aurora
- Amazon Relational Database Service
- AWS Glue
- OpenSearch
- ETL Development
- Data Pipelines
- Data Integration
- Data Cleansing
- Data Analytics
- Scheduling and Dependency Logic
- Software Testing and Debugging
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
Keywords
- Azure Data Factory
- Azure SQL Database
- Azure Data Lake
- Power BI
- Databricks
- Amazon Web Services
- Amazon Aurora
- Amazon Relational Database Service
- AWS Glue
- OpenSearch
- ETL
- Data Extraction
- Data Transformation
- Data Loading
- Data Warehousing
- Business Intelligence
- Data Pipelines
- Structured Data
- Semi-Structured Data
- Relational Databases
- Multidimensional Data Stores
- Scheduling Logic
- Dependency Logic
- Data Integration
- Data Cleansing
- Data Analytics
- Database Backend Development
- Software Testing
- Debugging
- Software Documentation