Consulting and technology- enabled by cloud, guided by data, fueled by apps, and secured by design.
Machine Learning • Digital IT Strategy • Big Data • Microsoft Solutions • Agile Transformation
201 - 500
April 2
Consulting and technology- enabled by cloud, guided by data, fueled by apps, and secured by design.
Machine Learning • Digital IT Strategy • Big Data • Microsoft Solutions • Agile Transformation
201 - 500
• Experience in designing and hands-on development of data pipelines, ETL processes, and data integration solutions in Azure. • Collaborate with data scientists and business analysts to understand data requirements and implement solutions for data exploration, analysis, and visualization. • Ensure data security and compliance with data privacy regulations. • Perform data profiling, cleansing, and transformation activities. • Monitor and troubleshoot data pipelines and resolve data quality issues.
• Experience in data engineering and working with Azure data services. • Strong proficiency in Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database. • Experience with data integration techniques and technologies, such as ETL/ELT processes, data pipelines, and data orchestration. • In-depth knowledge of SQL, data modeling, and data warehousing concepts. • Experience with programming languages such as Python. • Familiarity with cloud data architecture principles and best practices. • Strong problem-solving and analytical skills. • Excellent communication and collaboration abilities. • Knowledge of Microsoft BI Stack (SSRS/SSAS (Tabular with DAX & OLAP with MDX) SSIS) is a plus. • Azure certifications (e.g., DP-200, DP-201, DP-203) are a plus.
• Stay up to date with the latest trends and technologies in Azure data engineering
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