Azure Data Engineer / Azure Expert

• Design, build, and maintain scalable data pipelines using Azure Data Factory for data ingestion, transformation, and orchestration.
  
• Develop and optimize big data solutions and advanced analytics workflows using Azure Databricks.
  
• Create, manage, and publish Power BI dashboards and reports to deliver actionable insights to business stakeholders.
  
• Collaborate with data architects, analysts, and business teams to gather requirements and translate them into technical solutions.
  
• Implement data modeling, data integration, and ETL/ELT processes within Azure cloud environments.
  
• Ensure data quality, security, governance, and compliance in all data management activities.
  
• Monitor, troubleshoot, and optimize performance of data pipelines, analytics processes, and BI solutions.
  
• Support ad-hoc data requests, business analysis, and reporting needs.
  

Requirements

• Proven experience working with Microsoft Azure ecosystem (Data Factory, Databricks, Power BI).
  
• Strong background in data engineering, ETL processes, and big data solutions.
  
• Hands-on experience in SQL, Python, or Scala for data transformation and analytics.
  
• Strong understanding of data modeling, data warehousing, and data visualization principles.
  
• Ability to optimize queries, pipelines, and dashboards for performance and scalability.
  
• Excellent problem-solving and analytical skills.
  
• Strong communication and collaboration skills to work with cross-functional teams.
  
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
  

• Microsoft certifications such as Azure Data Engineer Associate, Azure Solutions Architect, or Power BI certification.
  
• Experience with Azure Synapse Analytics, Azure SQL Database, or other Azure data services.
  
• Prior experience in data governance, MDM, or cloud security practices.
  
• Exposure to agile methodologies and DevOps practices for data pipelines.