Data Engineer Position Focused on Cloud Pipeline Implementation

Elevate your career as a Data Engineer in a dynamic environment. Focus on cloud-based data pipeline implementation and develop robust solutions for data management and analytics.

This role seeks an experienced Data Engineer to transform business needs into technical specifications. You will design and maintain scalable data infrastructures that facilitate investment analytics and client reporting. Key skills include expertise with cloud architectures like AWS and Azure and knowledge of ETL tools required for success in this position.

Key Responsibilities:

• Collaborate with business teams to gather requirements
• Implement efficient data movement architecture
• Design and maintain data loading and transformation processes
• Develop scalable data pipelines for analytics use cases
• Coordinate deployment of pipeline changes with Release Management

Requirements:

• 3+ years experience in data pipeline implementation
• Strong understanding of data ETL architecture
• Proficiency in cloud services like AWS, Azure
• Familiarity with PySpark, AWS Glue, Lambda
• Strong analytical and communication skills

Become an integral part of a team committed to innovation and continuous improvement in data management.

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