Description

You will build and manage end-to-end data integration and processing workflows within the Azure ecosystem.

This role is on-site.

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory.
• Implement and optimize data storage solutions in data warehouses and data lakes.
• Develop and maintain reports and dashboards using Power BI.
• Ensure data integrity, consistency, and security across all systems.
• Optimize database and query performance for data-driven decision-making.

Required Skills

• 7-10 years of professional experience in data engineering.
• Expertise in SQL, T-SQL, database design, and data warehousing principles.
• Hands-on experience with Azure Data Factory, Azure Databricks, and Azure Data Lake.
• Proficiency in Python, PySpark, and PySQL for data processing.
• Experience with SQL Azure and data integration tools.
• Knowledge of OLAP and data warehouse design concepts.
• Experience with Power BI and other analytics tools.

Key Skills

Education

Any Gradute