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.
- 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.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Senior