27 Oct
LanceSoft
Toronto
Role: Software Developer - ETL - Senior
Location: Toronto, ON(Hybrid)
Duration: 6 Months with Possible extension
Criteria 1: Data Migration, ETL - 40 Points
- Demonstrated experience with ETL development, data pipelines, workflow orchestration and data ingestion, transformation, and movement
- Demonstrated experience in integrating various data sources and systems, both on-premises and in the cloud, using Azure ETL services or other ETL tools
- Demonstrated experience working with Azure Data Factory, Azure Synapse workspaces, PolyBase, including knowledge of pipeline creation, data flows, integration runtimes, triggers, and monitoring.
- Demonstrated experience with data manipulation languages (T-SQL, PL/SQL),
data definition languages, query performance analysis & tuning
- Demonstrated experience with SQL Server, Oracle, Azure SQL Databases
- Demonstrated experience with data modeling tools (preferably, ERWIN)
- Demonstrated experience in scripting languages like Python and with Azure-specific scripting using PowerShell or Azure CLI.
- Experience with software development lifecycle
- Experience with data modeling, physical database design, data flow diagrams
Criteria 2: Data Warehouse and Reporting - 20 Points
- Demonstrated experience working with Azure Synapse Analytics or similar platforms for building and managing large-scale data warehousing/lakehouse solutions
- Experience with data warehousing modelling concepts such as star and snowflake schemas
- Experience with SSIS, SSRS, PowerBI
- Experience with supporting a data warehouse in a production environment
Criteria 3: Azure Platform - 20 Points
- Experience with Azure Data Factory (ADF) and Synapse Workspaces
- Demonstrated experience Azure data management tools, DevOps, Synapse Studio
- Experience in Azure resource configuration and administration such as Azure Data Lake, Blob Storage, Key Vault, Application Insight resources, resource groups and subscriptions.
- Familiar with Azure cloud platform
- Azure cloud certifications
Criteria 4: Dynamics 365 - 10 Points
- Demonstrated experience working with integration technologies commonly used with Dynamics, such as DataVerse / Common Data Service (CDS), Data Entities, and APIs.
- Demonstrated experience with PowerApps platform, Power Automate, Dynamics Client &F;&O;
Criteria 5: DevOps and CI/CD - 10 Points
- Demonstrated experience with continuous integration/continuous deployment (CI/CD) tools and processes around DevOps, data workflows,
Synapse workspaces.
Mandatory Requirements
- 5+ years of proven working experience in an ETL role; strong understanding of ETL principles, including data extraction, transformation, and loading processes; knowledge of common ETL design patterns. Understanding of data pipeline architectures, Azure workflow orchestration tools, and concepts related to data ingestion, transformation, and movement.
- Proficiency in Azure Data Factory, Azure Synapse workspaces, PolyBase, including knowledge of pipeline creation, data flows, integration runtimes, triggers, and monitoring.
- Strong SQL skills and experience working with Azure SQL Databases and Dataverse; good understanding of Azure storage concepts and technologies.
- Proficiency in scripting languages like Python, experience with Azure-specific scripting using PowerShell or Azure CLI.
- Expert proficiency with data manipulation languages (T-SQL, PL/SQL), data definition languages, physical database design, data modeling, query performance analysis & tuning
- Knowledge of integration technologies commonly used with Dynamics, such as DataVerse / Common Data Service (CDS), Data Entities, and APIs.
- Experience with continuous integration/continuous deployment (CI/CD) processes around DevOps, data workflows, Synapse workspaces.
- Familiarity with data warehousing concepts and experience working with Azure Synapse Analytics or similar platforms for building and managing large-scale data warehousing/lakehouse solutions.
- Experience with SSIS, SSRS,
PowerBI
Nice-to-Have Requirements
- Azure cloud certifications (e.g. Azure fundamentals, Azure Data Engineer associate, Azure Database Administrator associate)
- Experience with PowerApps platform, Power Automate, Dynamics Client and F&O;
Desired Skills and Experience
- 5+ years of proven working experience in an ETL role; strong understanding of ETL principles, including data extraction, transformation, and loading processes; knowledge of common ETL design patterns. Understanding of data pipeline architectures, Azure workflow orchestration tools, and concepts related to data ingestion, transformation, and movement.
- Experience in integrating various data sources and systems, both on-premises and in the cloud,
using Azure ETL services or other ETL tools
- Knowledge of integration technologies commonly used with Dynamics, such as DataVerse / Common Data Service (CDS), Data Entities, and APIs.
- Expertise in data transformation techniques, such as data cleansing, aggregation, enrichment, and normalization using Azure cloud technologies
- Understanding of data quality management practices, including data profiling, data validation, and error handling within ETL processes.
- Understanding of data governance principles, data privacy regulations and experience working with high-sensitivity data, and knowledge of best practices for data security and compliance in Azure.
- Ability to monitor and troubleshoot ETL processes, optimize query performance,
and implement efficient data processing techniques in Azure.
- Proficiency in Azure Data Factory, Azure Synapse workspaces, PolyBase, including knowledge of pipeline creation, data flows, integration runtimes, triggers, and monitoring.
- Strong SQL skills and experience working with Azure SQL Databases and Dataverse; good understanding of Azure storage concepts and technologies.
- Proficiency in scripting languages like Python, and experience with Azure-specific scripting using PowerShell or Azure CLI.
- Expert in data manipulation languages (T-SQL, PL/SQL), data definition languages, physical database design, data modelling, query performance analysis & tuning
- Familiarity with version control systems (e.g., Azure Repos) and collaboration tools (e.g., Azure DevOps) for managing code,
tracking changes, and collaborating with team members.
- Experience with continuous integration/continuous deployment (CI/CD) processes around DevOps, data workflows, Synapse workspaces.
- Experience with SQL Server Management Studio, Azure data management tools, XRM toolbox, data modeling tools (preferably, ERWIN).
- Familiarity with data warehousing concepts and experience working with Azure Synapse Analytics or similar platforms for building and managing large-scale data warehousing/lakehouse solutions.
- Experience with SSIS, SSRS, PowerBI
▶️ Software Developer - ETL - Senior
🖊️ LanceSoft
📍 Toronto