Data Engineer - Active Pooling

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Requirements:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Experience as a Data Engineer with a focus on Active Pooling and data pipeline development.
• Strong proficiency in SQL and programming languages such as Python or Java.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data stack tools.
• Familiarity with ETL processes and data integration methodologies.
• Analytical mindset with the ability to troubleshoot and resolve data issues effectively.
• Excellent communication skills for collaboration with cross-functional teams.
• Strong organizational skills and attention to detail.

Responsibilities:

• Design, build, and maintain data pipelines that support Active Pooling initiatives and improve data accessibility.
• Collaborate with stakeholders to identify data needs and deliver effective data solutions.
• Utilize cloud services and technologies to architect scalable data architectures.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Analyze and optimize ETL processes to improve data processing efficiency.
• Stay current with industry trends and best practices in data engineering and cloud technologies.
• Provide support for data-related issues and contribute to troubleshooting efforts.
• Document data engineering processes and architectures appropriately.