Experience: 8-10 Years

Location: Remote

Employment Type: Full-time

Key Responsibilities

• Design, develop, and implement business intelligence solutions using Power BI Fabric.
• Create and deploy Power Apps solutions based on business requirements.
• Develop scalable and efficient data warehouse solutions using Microsoft SQL Server and related tools.
• Design and maintain ETL processes using SQL Server Integration Services (SSIS) to extract, transform, and load data from various sources.
• Optimize data models and schema structures using Microsoft SQL Server Analysis Services (SSAS) for analytical reporting and business intelligence.
• Develop high-quality Python scripts for data processing and automation, utilizing relevant libraries and frameworks.
• Implement and manage cloud-based data warehouse solutions using Microsoft Azure (Azure SQL Database, Azure Data Factory) and AWS (Redshift, Glue).
• Work with big data technologies such as Data Lake, Apache Spark, or similar frameworks for large-scale data processing and analytics.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Ensure data security, integrity, and compliance with industry best practices.
  
  

Required Skills & Qualifications

• 8-10 years of experience in data warehousing, ETL development, and business intelligence solutions.
• Proficiency in Power BI Fabric and Power Apps for dashboarding and reporting.
• Strong expertise in Microsoft SQL Server, SSIS, SSAS, and database modeling.
• Hands-on experience with Python for data manipulation and automation.
• Experience with Azure (Azure SQL, Data Factory) and AWS (Redshift, Glue) cloud services.
• Knowledge of big data technologies like Data Lake, Apache Spark, or similar tools.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities to work with stakeholders.
  
  

Preferred Qualifications

• Certification in Azure Data Engineer, AWS Data Analytics, or Power BI.
• Experience with machine learning models and AI-driven analytics is a plus.
• cloud technologies are advantageous.
  
  

Skills: cloud technologies,ssas,azure sql database,aws redshift,python,sql server,data warehouse,azure data factory,apache spark,power bi fabric,data lake,performance tuning,power apps,ssis,aws,problem solving,microsoft,data,data modeling,team collaboration,azure,sql proficiency,aws glue,business intelligence,data architecture,sql