Azure Data Factory - SE , ML , TL

We are seeking an experienced Azure Data Factory Engineer for the Design, develop, and maintain robust data pipelines and ETL processes , Implement and optimize data storage solutions in data warehouses and data lakes ,Strong experience with Microsoft Azure tools, including SQL Azure, Azure Data Factory, Azure Databricks, and Azure Data Lake with strong communication skills

The ideal candidate should have:

Key Responsibilities:

• Design, develop, and maintain robust data pipelines and ETL processes.Implement and optimize data storage solutions in data warehouses and data lakes.
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Utilize Microsoft Azure tools for data integration, transformation, and analysis.
• Develop and maintain reports and dashboards using Power BI and other analytics tools. Ensure data integrity, consistency, and security across all data systems.
• Optimize database and query performance to support data-driven decision-making.

Qualifications :

• 7-10 years of professional experience in data engineering or a related field,?Profound expertise in SQL, T-SQL, database design, and data warehousing principles.
• Strong experience with Microsoft Azure tools, including SQL Azure, Azure Data Factory, Azure Databricks, and Azure Data Lake.
• Proficiency in Python, PySpark, and PySQL for data processing and analytics tasks.
• Experience with Power BI and other reporting and analytics tools.
• Demonstrated knowledge of OLAP, data warehouse design concepts, and performance optimizations in database and query processing.
• Excellent problem-solving, analytical, and communication skills.