BI Developer (ETL & Database Management - Azure & Power BI)
Quantrics Enterprises Inc.
Date: 2 weeks ago
City: Taytay
Contract type: Full time

Overview
We are seeking a talented and detail-oriented Business Intelligence (BI) Developer with expertise in Azure services and Power BI, specializing in ETL (Extract, Transform, Load) processes and database management. In this role, you will be responsible for developing and maintaining ETL workflows in Azure, managing Azure-based databases, and ensuring the seamless integration of data into Power BI for reporting and analytics. The ideal candidate will work collaboratively with business stakeholders to ensure data is transformed and presented effectively, enabling data-driven decision-making.
Responsibilities
Required:
We are seeking a talented and detail-oriented Business Intelligence (BI) Developer with expertise in Azure services and Power BI, specializing in ETL (Extract, Transform, Load) processes and database management. In this role, you will be responsible for developing and maintaining ETL workflows in Azure, managing Azure-based databases, and ensuring the seamless integration of data into Power BI for reporting and analytics. The ideal candidate will work collaboratively with business stakeholders to ensure data is transformed and presented effectively, enabling data-driven decision-making.
Responsibilities
- Design, develop, and implement ETL processes using Azure Data Factory, ETL (C#) scripting and other Azure services to integrate data from various sources into Azure SQL Database, Azure Data Lake, or Azure Synapse Analytics.
- Manage and optimize databases in Azure (e.g., Azure SQL Database, Azure Synapse Analytics), ensuring high availability, performance, and security.
- Develop and optimize data models for Power BI, ensuring that reports and dashboards are based on accurate, high-quality data.
- Transform, clean, and validate data using Azure Data Factory, Azure Databricks, or Azure SQL to ensure it meets business needs.
- Monitor and troubleshoot ETL processes, ensuring data pipelines are efficient, reliable, and optimized.
- Implement and manage data security policies in Azure, ensuring access controls and data protection best practices are followed.
- Collaborate with data analysts and business users to define data requirements for Power BI reports and dashboards.
- Create and maintain technical documentation related to Azure ETL processes, database management, and Power BI configurations.
- Tune and optimize SQL queries and data models to improve performance for Power BI reports and dashboards.
- Automate and streamline data integration workflows in Azure to reduce manual interventions and improve efficiency.
- Work closely with cross-functional teams to gather business requirements and translate them into effective ETL workflows and Power BI reports.
Required:
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- Proven experience with Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake.
- Strong expertise in SQL and database management within Azure environments (e.g., Azure SQL, Azure Synapse).
- Solid experience in developing, optimizing, and maintaining Power BI reports and dashboards.
- Hands-on experience with data transformation, integration, and automation using Azure services like Azure Data Factory, Azure Databricks, and Azure Logic Apps.
- Strong knowledge of Power Query and DAX for creating efficient data models and reports in Power BI.
- Experience with data security and governance practices within the Azure ecosystem.
- Knowledge of cloud data architecture, including data lakes, data warehousing, and integration patterns in Azure.
- Proficiency in managing database performance, indexing, query optimization, and backup strategies within Azure.
- Excellent communication skills, both written and verbal, with the ability to collaborate effectively with cross-functional teams.
- Certification in Azure Data Engineer or Microsoft Certified: Data Analyst Associate (Power BI).
- Experience with Azure Synapse Analytics and managing big data workloads in Azure.
- Familiarity with advanced Power BI features like row-level security (RLS), real-time data, and Power BI Service for sharing and collaboration.
- Experience with version control systems such as Git.
- Knowledge of Azure DevOps or similar CI/CD pipelines for automating ETL and database deployment.
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