Data Engineer for Investment Management Solutions
hace 2 meses
**Job Overview:**
Dataart is seeking a highly skilled Data Engineer to join our team and work on various engineering solutions for an investment management company.
The ideal candidate will have 3-5 years of hands-on experience with AWS Services, including S3, Glue, Lambda, RDS, Eventbridge, and other supporting AWS Serverless components. Strong knowledge of IAM principles, infrastructure-as-code using AWS Cloudformation, and ELT/ETL pipelines using Apache Spark and AWS Glue Streaming is also required.
The role involves building and supporting event-driven solutions using the Cloudera Data Platform (PaaS), developing data set processes for data modelling, mining, and production, and implementing large data migration efforts to modern architectures.
Additionally, the successful candidate will have good understanding of database design, such as star Schema (Facts and Dimensions) and Data Lake Principles, and experience working within a set of data architecture principles.
**Responsibilities:**
- Build and support event-driven solutions using the Cloudera Data Platform (PaaS)
- Develop, test, and maintain event-driven data architecture
- Develop data set processes for data modelling, mining, and production
- Recommend ways to improve data reliability, efficiency, and quality
- Implement large data migration efforts to modern architectures
- Document data flows, including system integrations and design patterns
**Requirements:**
- 3-5 years of hands-on experience with AWS Services, including S3, Glue, Lambda, RDS, Eventbridge, and other supporting AWS Serverless components
- Strong knowledge of IAM principles, infrastructure-as-code using AWS Cloudformation, and ELT/ETL pipelines using Apache Spark and AWS Glue Streaming
- Good understanding of database design, such as star Schema (Facts and Dimensions) and Data Lake Principles
- Experience working within a set of data architecture principles
- Good spoken English
**Salary:** $120,000 - $150,000 per year
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