Senior Data engineering analyst

Description - External• Analyze client requirements and complex business scenarios.
• Design innovative, analytical, and fully automated products and solutions
• Act as BI Developer to execute key projects and deliverables.
• Ensure high quality and flawless execution of products.
• Provide consulting to teammates, leaders, and clients.
• Provide extensive solutions in ETL strategies

Qualifications - External- Undergraduate degree or equivalent experience.
Strong knowledge and hands-on experience with Power BI semantic model creation, report development, and data visualization, using Snowflake and Azure Data Warehouse as primary data sources.

Proficiency in Azure Cloud services, including Azure Data Factory, Azure SQL Data Warehouse, Azure Data Lake Storage, and Azure Analytics.

Experience with ETL processes and data integration using Azure Data Factory.

Strong programming skills in Python, SQL, and other scripting languages.

Familiarity with Databricks for data engineering, advanced analytics, and machine learning tasks.

Understanding of data modeling concepts and relational database systems, with expertise in Snowflake and Azure Data Warehouse.

Excellent problem-solving skills and ability to troubleshoot and resolve complex data-related issues.

Strong communication and collaboration skills to work effectively with cross-functional teams.

Ability to adapt to changing priorities and manage multiple tasks simultaneously.