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Job Description & How to Apply Below
Design, develop, and maintain scalable data pipelines and ETL workflows .
Build and optimize data integration processes using tools such as SSIS and Apache Airflow .
Develop and maintain data workflows using Azure Data Factory (ADF) .
Write optimized and complex SQL queries for data extraction, transformation, and analysis.
Use Python for data processing, automation, and pipeline development.
Design and maintain data warehouse solutions and data models.
Develop efficient data models to support BI, reporting, and analytics requirements.
Integrate data pipelines with Power BI and other business intelligence platforms.
Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance.
Automate repetitive data engineering processes and improve overall pipeline efficiency.
Work with cloud-based data infrastructure across Microsoft Azure and/or AWS .
Ensure data quality, consistency, security, and availability across different systems.
Collaborate with data analysts, BI developers, software engineers, and business stakeholders.
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