Data Engineer

Summary
The role is responsible for creating and updating codes on applications, resolving production issues, delivering business insights, and developing solutions using Power BI, Power Automate, and Python. The position works closely with cross-functional teams to ensure data reliability, reporting accuracy, process automation, and operational efficiency.
 
Job Responsibilities:

• Create and amend codes on applications.
• Develop and maintain Power BI dashboards, reports, KPIs, and data models.
• Build and optimize Power Query transformations, DAX measures, and report performance.
• Design and implement automated workflows using Power Automate.
• Develop Python-based solutions for data processing, automation, and analysis.
• Integrate Power Platform solutions with Microsoft 365, SharePoint, SQL Server, and other enterprise systems.
• Investigate, troubleshoot, and resolve data quality and production issues.
• Perform data validation, root cause analysis, and data corrections as required.
• Analyze datasets to identify trends, insights, and business opportunities.
• Collaborate with stakeholders to gather requirements and deliver reporting and automation solutions.
• Ensure operational stability, data accuracy, and continuous process improvement.

• SQL
• Python
• Power BI
• DAX
• Power Query
• Power Automate
• Data Analytics
• ETL/Data Pipelines
• Dashboard Development
• KPI Reporting
• SharePoint
• Microsoft 365
• Root Cause Analysis
• Process Automation

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 2 years of experience in Data Analytics, Digital Operations Support, Power BI, or Power Platform development.
• Good proficiency in SQL and Python for data analysis, automation, and troubleshooting.
• Hands-on experience with Power BI (DAX, Power Query, Data Modeling).
• Experience with Power Automate workflow development and integrations.
• Knowledge of ETL processes, data pipelines, and production support environments.
• Experience working with SharePoint Online, Microsoft 365, SQL Server, and cloud-based data sources.
• Strong analytical, problem-solving, and stakeholder management skills.
• Excellent verbal and written communication skills.

 
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