Data Analyst - Power BI/ETL

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Key Responsibilities

• Design, develop, and manage end-to-end data pipelines using Azure Data Factory (ADF) for efficient ETL/ELT processes.
• Develop, deploy, and monitor scalable data solutions using Azure Synapse Analytics or Databricks to support large-scale data processing and analytics.
• Write optimized SQL Server scripts, stored procedures, and views to support data transformation and integration requirements.
• Build and maintain insightful dashboards and reports using Power BI, with a focus on usability, performance, and clear data communication.
• Develop automation scripts using PowerShell for operational and monitoring tasks across Azure services.
• Create automated workflows using Power Automate to streamline manual tasks and notifications.
• Leverage Python or PySpark for data manipulation, transformation, and orchestration within Synapse or Databricks environments.
• Collaborate with business stakeholders, data analysts, and application developers to gather requirements and deliver high-quality solutions.
• Perform root cause analysis, data validation, and ensure data integrity across systems and processes.
• Participate in code reviews, design discussions, and documentation efforts to ensure best practices and knowledge sharing.
• Ensure security, compliance, and governance in all data engineering activities.
  

Required Skills And Qualifications

• 6 to 8 years of experience in data engineering, data analytics, or business intelligence roles.
• Strong proficiency in Azure Data Factory, SQL Server, and Power BI.
• 2+ years of hands-on experience with Azure Synapse Analytics or Databricks and Python for data transformation and analysis.
• Experience with PowerShell scripting for automation and Power Automate for workflow integration.
• Strong understanding of data warehousing concepts, data modelling, and performance tuning.