Senior ETL Developer – Azure, AWS & Databricks
- Toronto, ON, Canada
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Original job description
Job Title: Senior ETL Developer – Azure, AWS & Databricks
We are seeking a Senior ETL Developer to design, develop, maintain, and optimize data pipelines supporting Data Warehouse and Business Intelligence solutions.
- Develop and maintain ETL processes for initial and daily data loads across structured, semi-structured, relational, and multidimensional data sources.
- Hands-on experience with Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI.
- Experience with the Databricks Platform and AWS data technologies, including AWS Glue, Amazon Aurora, and OpenSearch.
- Build and maintain ETL scheduling, job dependencies, data integration, data cleansing, and data quality processes.
- Strong expertise in complex SQL queries, performance tuning, database administration, and data modeling for data warehouses and data marts.
- Use Git and source control strategies while following software development lifecycle practices, including development, testing, QA, and delivery.
- Prepare technical documentation, including ETL source-to-target mappings, data models, architecture artifacts, and detailed design documents.
- Collaborate with business stakeholders to gather, document, and validate requirements while ensuring scalable, maintainable, and high-quality data solutions.
- Nice to have: C#, APIs, Azure Functions, PowerShell, dashboard/report development, and knowledge of AODA standards.
More about this job
Responsibilities
Design, develop, maintain, and optimize ETL pipelines and data integration processes for data warehouse and business intelligence solutions. Collaborate with stakeholders to validate requirements, ensure data quality, and produce technical documentation and maintainable data solutions.
Requirements
Requires hands-on experience with Azure data services, Databricks, and AWS data technologies, along with strong SQL, performance tuning, database administration, and data modeling expertise. Candidates should be familiar with Git, software development lifecycle practices, ETL scheduling, and technical documentation.
Skills
- ETL Development
- Azure Data Factory
- Azure SQL Database
- Azure Data Lake
- Power BI
- Databricks
- AWS Glue
- Amazon Aurora
- OpenSearch
- SQL
- Performance Tuning
- Database Administration
- Data Modeling
- Data Warehousing
- Data Quality
- Git
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Consulting
Keywords
- ETL
- Data Pipelines
- Data Warehouse
- Business Intelligence
- Azure Data Factory
- Azure SQL Database
- Azure Data Lake
- Power BI
- Databricks
- AWS Glue
- Amazon Aurora
- OpenSearch
- SQL
- Performance Tuning
- Database Administration
- Data Modeling
- Data Marts
- Data Integration
- Data Cleansing
- Data Quality
- ETL Scheduling
- Git
- Source-To-Target Mapping
- C#
- APIs
- Azure Functions
- PowerShell
- Dashboard Development
- AODA Standards