An established industry player is seeking a skilled Data Engineer to architect and optimize data management frameworks. In this pivotal role, you will design and implement data engineering pipelines, ensuring adherence to governance standards while leveraging AWS and Snowflake technologies. You will be responsible for developing database models and transforming data for analytical use, while also collaborating with business teams to negotiate solutions. If you are passionate about data architecture and looking to make a significant impact in the finance domain, this is the perfect opportunity for you.
Qualifications
Expertise in finance domain data and data modeling for analytical use cases.
Strong skills in architecting data solutions and optimizing performance.
Responsibilities
Ensure data management frameworks are adhered to and optimized.
Architect data engineering pipelines using AWS services.
Skills
Finance Domain Data expertise
Data modeling in Data Lake and Data Warehouse
Negotiation with business teams
Architecting data storage and transformation in AWS
Designing data pipelines for various sources
Working with structured, semi-structured, and unstructured data
Creating impactful presentations
Tools
AWS
Snowflake
Job description
An established industry player is seeking a skilled Data Engineer to architect and optimize data management frameworks. In this pivotal role, you will design and implement data engineering pipelines, ensuring adherence to governance standards while leveraging AWS and Snowflake technologies. You will be responsible for developing database models and transforming data for analytical use, while also collaborating with business teams to negotiate solutions. If you are passionate about data architecture and looking to make a significant impact in the finance domain, this is the perfect opportunity for you.