experience in data engineering
years' experience in data engineering Strong data warehousing and data lake architecture experience Data technologies and ETL Tools KPAs: Design and develop data warehousing and data lake solutions Ensure data accuracy
tools such as ETL Tools, Data Pipeline Tools, Data Warehousing Tools, Data Streaming Tools.
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leading BI projects and teams.
Expertise in data warehousing, ETL processes, and data visualization tools
from various sources. - Develop and implement data warehousing solutions. - Collaborate with cross-functional a strong understanding of data modelling, data warehousing, and ETL processes. ▪ Comfortable working Synapse, to design and implement data integration, analytics, and warehousing solutions. Recommended: ▪ Proficient
years experience as a Data Analyst
tools such as ETL Tools, Data Pipeline Tools, Data Warehousing Tools, Data Streaming Tools. Qualification:
QlikSense, and Nprinting
abilities, experience with data modelling and data warehousing, knowledge of data quality and governance
leading BI projects and teams. Expertise in data warehousing, ETL processes, and data visualization tools