Project description
As part of Technology team, the Python back-end engineer will work on to develop, enhance, and maintain platform services supporting control specific data preparation pipelines, back-end application components, APIs and workflow integrations. The role will also contribute to platform modernization and cloud-aligned strategic initiatives. This role requires strong experience in Python development, API design, distributed systems, cloud technologies, and software engineering best practices. The resource must be able to quickly integrate into an existing development team and contribute to strategic delivery commitments.
Responsibilities
- Key Deliverables
- Development and enhancement of Python based control specific data preparation modules, back-end services and APIs.
- Design and implementation of automation and workflow orchestration capabilities.
- Integration of controls onboarding and surveillance components across the platform.
- Delivery of performance, scalability, and reliability improvements.
- Support for cloud migration and modernization initiatives.
- Resolution of application defects and production support issues.
- Delivery of technical documentation and adherence to SDLC and control standards.
- Maintenance of technical documentation and knowledge transfer to internal teams.
Skills
Must have
- 10+ years of experience in data intensive python development.
- Proven experience as a core Python and Pyspark developer.
- Experience developing Classes, OOPS, exception handling, parallel processing .
- Strong knowledge of DB connectivity, data loading , transformation, calculation.
- Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations.
- Lambda Functions, Decorators.
- Vector operations on Pandas dataframes /series.
- Application of applymap, apply, map functions.
- Concurrency and error handling data pipeline batch of size [1-10 gb].
- Ability to understand business requirements and translate them into technical requirements.
- Ability to design architecture of data pipeline for concurrent data processing.
- Familiar with creating/designing RESTful services and APIs.
- Familiar with application unit tests.
- Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services.
- Debugging application.
- Should know Airflow, Trino, Iceberg and have good knowledge of SQL
Nice to have
- Knowledge of web backend technology
- Django, Python, PostgreSQL.
- Atlassian Jira
- Understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a plus
- Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus
Other
Languages: English: C2 Proficient
Seniority: Senior
