Description

Key Responsibilities 

• Design and maintain scalable data and cloud solutions.
• Build and optimize data pipelines and AWS infrastructure.
• Collaborate with business and technology stakeholders.
• Ensure data quality, security, and operational excellence.
• Support cloud-native integrations and automation initiatives.

Ideal Candidate Profile 

• 14+ years of overall IT experience.
• 7+ years of experience in data engineering, with a proven track record of designing, building, and optimizing scalable, cloud-native data pipelines and architectures.
• Experience in the investment domain, specifically Private Credit, is required.
• Expert-level proficiency in SQL, with strong experience in large-scale data processing, transformation, automation, and orchestration.
• Deep expertise in database design, data modeling, data warehousing, and data architecture best practices.
• Strong hands-on expertise in Snowflake for building and optimizing cloud-based data warehousing and processing solutions.
• Strong hands-on experience setting up AWS infrastructure, including Amazon S3, Amazon ECR, and AWS Fargate, with advanced proficiency in related services such as AWS Glue, AWS Lambda, Amazon EC2, and Amazon Athena.
• Proficiency in designing and implementing ETL/ELT pipelines and data-loading patterns for data warehouses and data lakes.
• Solid experience with DevOps practices and automation frameworks, including CI/CD pipelines, GitHub Actions, Bamboo, and pipeline-as-code principles

Key Skills

Education

Bachelor's degree