* Responsible for ensuring that the data management and governance frameworks are in place and adhered to
* Responsible for Architecting Data engineering pipelines including data acquisition, Ingestion, management, processing, publishing by leveraging various AWS services
* Responsible for developing and optimizing database models to store and retrieve company information
* Responsible for determining strategic data requirements, creating high-level designs according to these requirements
* Responsible for guiding and resolving issues with AWS service configuration, performance, security compliance, data quality issues and data retrieval.
* Prepare Architecture and high-level design documents for the data engineering pipelines
* Designing DevOps & DataOps pipelines and resolve issues during implementation and execution.
* Responsible for researching data acquisition opportunities
Skillset | Candidate Self Rating (5) | Candidate Writeup | Work Experience (Years) |
Finance Domain Data expertise. | |||
Ability to Model data in Data Lake and Data warehouse for Analytical use cases. | |||
Ability to understand and negotiate solution with Business teams/Business Analysts. | |||
Ability to architect and Design Data Storage, Data Transformation, Data Security, Data Quality and Performance optimization techniques in AWS and Snowflake. | |||
Ability to architect and solution data pipelines for batch, streaming, API, Message Queues and real time sources. | |||
Ability to work with structured, semi structured and unstructured data. | |||
Ability to create clear and impactful Presentations based on audience. |
Any Graduate