Data Engineer

Project Description:

You will work as a Data Engineer in Trading Technology, Public Market Investments team, partnering with traders, investment professionals and operations staff to design and implement solutions enabling trading and post trade activities. You will be responsible for hands on development of analytical solutions covering several asset classes including equities, fixed income, derivatives, OTC and FX. Through close partnership with traders, investment professionals and operations, you will see firsthand how your software is impacting trade activities

Responsibilities:

Own aspect of designing, building and maintaining a scalable and efficient cloud base data platform to meets the needs of trading analytics.

Help implement processes and tools to monitor and improve data quality.

Model and efficiently store financial trading data for use in analytics.

Create procedures to ensure best practices are being met in the software development process.

Liaise with technical and business individuals who may be internal staff or external vendors towards the completion of projects.

Create solutions tailored to business requirements aligned with the long-term architecture and technology strategy using Amazon Web Services (AWS) for Cloud development.

Provide knowledge transfer of application support and deployment processes to team members, Operations, and Support personnel through proper documentation.

Proactively find improvement opportunities to streamline business processes, automate manual processes where appropriate.

Other duties as assigned.

Mandatory Skills Description:

University degree in Engineering or Computer Science.

8+ year of relevant experience

Good understanding of trading, capital market, trade life cycle with an eagerness to contribute to the systems that support them.

Strong knowledge of software development best practices and patterns.

Strong problem-solving and debugging skills

Strong hands-on experience in Python, AWS Cloud and Kubernetes.

Strong working knowledge of Databases - SQL

Expertise with Data Engineering: data pipelinea, data quality principles, data profiling techniques and data governance best practice

Knowledge of technologies for Cloud development. Experience working with AWS is must.

Good to have experience in BI tools like Quicksight etc.

Passion to expand your domain knowledge both on the job and through continued education

Commitment to our Client's guiding principles of integrity, partnership and high performance.

Languages:

English: C1 Advanced