We are looking for a remote skilled ETL/Data Warehouse Migration Developer with skills in AWS Redshift, mySQL, and ETL languages Node.JS and Python to join our team on a long-term contract basis. In this role, you will design and implement data warehousing solutions, develop ETL processes, and enable seamless data integration from various platforms in building an enterprise level Data Warehouse and creating a Tableau reporting system out of the newly developed enterprise level Data Warehouse. This position is based in Tampa, Florida, and offers an exciting opportunity to work in the transport industry.

Responsibilities:

• Design and implement robust data warehousing solutions to support business intelligence and reporting needs.

• Develop and manage ETL processes to integrate data from platforms such as Google Ads, Google Analytics, Meta, Microsoft Advertising, and QuickBooks.

• Create and maintain data models and schemas to support reporting solutions in Tableau or similar tools.

• Provide advanced support for custom data requests and ensure timely delivery of accurate reports.

• Enable self-service reporting for end users by building user-friendly dashboards and tools.

• Collaborate with development teams to design efficient data storage architectures that enhance reporting capabilities.

• Ensure data quality and accuracy through rigorous testing and validation processes.

• Use programming languages like Node.js or Python to deliver scalable data solutions.

• Leverage tools like dbt or equivalent to automate and streamline data transformations.

• Proficiency in Amazon Web Services (AWS) and MySQL for data management and integration.
• Strong experience with Amazon Redshift for data warehousing solutions.
• Advanced skills in Tableau or similar tools for creating data visualizations and reports.
• Expertise in ETL processes, including data extraction, transformation, and loading.
• Hands-on experience with programming languages such as Node.js and Python.
• Familiarity with dbt or equivalent tools for data transformation and modeling.
• Excellent problem-solving skills and attention to detail in handling complex data requests.
• Strong communication skills to collaborate effectively with cross-functional teams.