Senior Data Warehouse Engineer
Senior Data Warehouse Engineer
Posted on :
06-05-2025
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1 Vacancy
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Job Description
Experience: 810 Years
Location: Remote
Employment Type: Fulltime
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 highquality Python scripts for data processing and automation utilizing relevant libraries and frameworks.
- Implement and manage cloudbased 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 largescale data processing and analytics.
- Collaborate with crossfunctional teams to understand business needs and translate them into technical solutions.
- Ensure data security integrity and compliance with industry best practices.
Required Skills & Qualifications:
- 810 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.
- Handson 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 problemsolving 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 AIdriven analytics is a plus.
- cloud technologies are advantageous.
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
Employment Type
Full Time
Key Skills
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