Curate, design and catalogue high quality data solutions to ensure that data is accessible and reliable for internal firmwide engineering teams. We work with internal clients to help them leverage the frameworks, tooling, and APIs we are building across Data Engineering. We work with clients to understand both existing and potential datasets in an engineering and business context. This will allow for data-driven insights and decision-making critical to the firm's business processes, and to expose data in a scalable and effective manner.
RESPONSIBILITIES AND QUALIFICATIONS Why join the team?
We work with internal engineering and business teams to help solve their business data needs by using standard Data Engineering data pipelines and modeling tools that we also help enhance
We drive adoption of Cloud technologies for data processing and warehousing
We engage with data consumers and producers in order to design appropriate models and services to meet their needs
We collaborate with global team members
We work in an agile environment, using but not limited to the following technologies: Java , Git, AWS, Snowflake, S3, Aurora, Sybase IQ, PostgreSQL, Kubernetes, and Alloy/Legend
Why choose this particular role?
Greenfield projects and opportunities to make impact in high-visibility projects
Fun and empathetic hands-on manager
A Bachelor's degree or higher in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related discipline)
Solid knowledge Java (or other OO languages) and the ability to learn new languages/technologies
Knowledge of SQL and relational databases
General knowledge of working with complex business processes, data flows and consuming large amounts of data
A curious attitude and eagerness to learn and grow
3+ years of software engineering experience
Interest in Financial Services industry
Prior experience with ETL pipelines
Prior experience with an OLAP and/or columnar database, e.g., Sybase IQ, MemSQL, SnowFlake
Experience working with complex business and data processes