Description

You will design, build, and maintain data pipelines, ETL processes, and data models across the Data and AI lifecycle.

This role is on-site.

Responsibilities

• Build and maintain data models, databases, and data warehouses.
• Develop data integration solutions to connect various sources and ensure data quality.
• Optimize data workflows for performance and scalability.
• Oversee the end-to-end software development lifecycle using safe agile practices.
• Monitor and troubleshoot data-related issues to ensure system reliability.

Required Skills

• 10+ years of experience as a Data Engineer or in a similar role.
• Advanced proficiency in Microsoft Power Platform, including Power BI, Power Apps, and Power Automate.
• Strong expertise in SQL and Python.
• Hands-on experience with Azure, Azure Data Factory (ADF), and Data Lake.
• Practical knowledge of AWS and Google Cloud platforms.
• Experience with data modeling and data visualization techniques.
• Bachelor's Degree in Computer Science, Information Technology, or a related field.
• Ability to work 3-4 hours daily aligned with US East Coast (EST) time.

Preferred Skills

• Microsoft Power Platform certification.
• Experience with Microsoft Azure services and tools.

Key Skills

Education

Bachelor's Degree