Data Engineer (Google Cloud and Azure)

This is a remote position.

We are seeking a Data Engineer (Google Cloud and Azure) to join our team.

Responsibilities:

• Collaborate with clients to gather requirements and understand their data ecosystems.
• Develop and maintain robust ETL/ELT pipelines to integrate and process data from multiple platforms.
• Implement solutions for identity resolution to consolidate user data across channels.
• Set up automated data pipelines for marketing and communication workflows.
• Design and optimize data models for reporting and analytics purposes.
• Troubleshoot and resolve data integration and processing issues.
• Work with modern cloud-based data platforms and tools to build scalable solutions.
• Ensure data quality, integrity, and compliance with best practices and privacy regulations.

Requirements:

• Proficiency in SQL and experience with ETL/ELT tools and frameworks.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services.
• Knowledge of data warehousing concepts and technologies (e.g., Snowflake, BigQuery, Redshift).
• Strong problem-solving skills and ability to work independently on complex data challenges.
• Excellent communication skills to convey technical solutions to non-technical stakeholders.
• Experience with Python or other programming languages for data manipulation.