Job Title: AWS Data Engineer Location: Remote Duration: / Term: C2C Experience Desired: 14+ Years Job 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: Data Engineer, AWS, Investment, Credit, Snowflake, ETL.