Description

Build and manage data pipelines using the Microsoft Azure stack. Design data warehousing solutions and database architectures to support analytics.

Responsibilities

• Design and implement data warehousing solutions and database architectures.
• Develop data processing and analytics workflows using Python and PySpark.
• Optimize database performance and query processing for complex datasets.
• Build reporting and analytics layers to support data-driven decisions.

Required Skills

• 8+ years of professional experience in data engineering or a related field.
• Expertise in SQL and T-SQL.
• Hands-on experience with Azure Data Factory, Azure Databricks, and Azure Data Lake.
• Proficiency in Python, PySpark, and PySQL.
• Strong knowledge of SQL Azure and database design principles.
• Practical understanding of OLAP and data warehouse design concepts.
• Experience with Power BI and other reporting tools.
• Proven ability in performance optimization for databases and queries.

Preferred Skills

• Advanced analytical and problem-solving capabilities for complex data architectures.

Key Skills

Education

Any Graduate