Data Engineer

1 month ago


Albany, New York, United States American Cybersystems Full time

About the Role:

We are seeking a highly skilled Data Engineer with expertise in Python ETL and Azure experience to join our team.

The ideal candidate will have strong proficiency in Python programming language and experience in Extract, Transform, Load (ETL) processes.

They should be able to design and develop efficient ETL workflows to extract data from various sources, transform it as per business requirements, and load it into target systems.

Azure Experience:

The candidate should have hands-on experience working with Microsoft Azure cloud platform.

They should be familiar with Azure services and tools, and have a good understanding of Azure architecture and best practices.

Key Responsibilities:

  • Design and implement data pipelines using Azure Data Factory
  • Perform data transformations and analytics using DataBricks
  • Manage data storage and virtual machines in Azure
  • Implement data governance frameworks and establish data quality standards
  • Configure monitoring and alerting mechanisms to ensure timely identification and resolution of issues in batch job execution

Requirements:

  • 8-10 years of experience in Data Engineering
  • Strong proficiency in Python programming language
  • Experience in Extract, Transform, Load (ETL) processes
  • Hands-on experience working with Microsoft Azure cloud platform
  • Knowledge of Azure services and tools

What We Offer:

Innova Solutions offers a competitive salary range of $70-$72 per hour W2, as well as a comprehensive benefits package, including medical and pharmacy coverage, dental and vision insurance, 401(k), and more.

About Innova Solutions:

Innova Solutions is a leading provider of technology and business transformation solutions, with a global presence and a reputation for excellence.

We are committed to providing our employees with a work environment free of discrimination and harassment, and we welcome applications from diverse candidates.



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