Data Engineer

Job Title: Data Engineer
Location: Remote
Salary: $90,000 - $120,000 USD annually
We are in need of a Senior Data Engineer to join our client's team. This is an excellent opportunity to work with a great team and have the opportunity to make an immediate impact for the organization.
Responsibilities:

• Design, develop, and maintain data pipelines for ingesting, transforming, and loading data into the data warehouse.
• Implement data modeling and build out data warehousing solutions using Azure and PostgreSQL technologies.
• Ensure low-level security measures are implemented and maintained to safeguard sensitive data.
• Implement soft delete architecture for data deletion to ensure data integrity and compliance with regulatory requirements.
• Utilize Azure Data Factory for orchestrating data workflows and integrating with other Azure services.
• Embed Power BI for data visualization and reporting purposes, ensuring high-quality and scalable dashboards.
• Design and implement a robust architecture for the data platform, focusing on scalability, performance, and maintainability.
• Establish observability and monitoring practices to track data pipeline performance and detect anomalies.
• Monitor server health and performance, ensuring optimal operation and resource utilization.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Mentor junior team members and provide technical guidance and support as needed.

Requirements:

• Minimum of 5 years of experience in a Data Engineering or similar role.
• Strong expertise in Azure services, particularly Azure Data Factory and Power BI.
• Proficiency in PostgreSQL and SQL for data manipulation and querying.
• Experience with data warehousing techniques and methodologies.
• Familiarity with implementing security measures and data governance best practices.
• Excellent problem-solving skills and attention to detail.
• Experience with server monitoring and performance optimization.
• Ability to work effectively in a fast-paced and collaborative environment.