Job Description:

• Complete work and achieve milestones within the assigned deadlines;
• Notify the Cluster/Ministry project Manager in writing of any issues or other material concerns related to the Assignment Deliverables, as soon as Candidate becomes aware of them.
• Submit Deliverables for the Cluster/Ministry approval as they are completed.

Experience and Skillset Requirements:
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.
• Knowledge of integration technologies commonly used with Dynamics, such as DataVerse / Common Data Service (CDS), Data Entities, and APIs.

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 CE 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).

Resumes Evaluation/Criteria:

• Data Migration, ETL.
• 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

Azure Platform:

• 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.

Dynamics 365:

• 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 CE & F&O.

DevOps and CI/CD:

• Demonstrated experience with continuous integration/continuous deployment (CI/CD) tools and processes around DevOps, data workflows, Synapse workspaces.