Software Developer

1 month ago

Old Toronto, Canada LanceSoft Full time

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 with 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.
  • 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.
  • 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.
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