Azure Data Factory - SE , ML , TL

• 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.