As a Senior Database specifical, you will play a pivotal role in driving and shaping Pershing X – Trading and Rebalancing’ data strategy as we start on exciting initiatives to build a highly scalable and incredibly resilient Portfolio Management system in Pershing X space. Working closely withthe team and your peers, will be responsible for
The Design and Delivery of data solutions using Mongo, with an emphasis on quality automation and continuous integration.
Supporting the development and implementation of a data strategy that enables current and future data processing, analytics and reporting requirements in alignment with the overall Pershing X’ data strategy and priorities.
Contributing to the development and implementation of appropriate practices, standards, governance and risk management processes for data delivery
Evaluation of different architectural and software solutions, understanding trade-offs and designing, delivering appropriate solutions. In the business-facing role, you will be working in a fast-paced environment and should be able to share ideas and fresh perspective based on your prior experience(s) Working to collaborate with peers and contribute to new technology discussions.
Building strong relationships with business stakeholders, collaborate on requirements, relationships and ensuring that the technology deliveries are aligned with business goals and strategy.
Writing reusable, testable and efficient code besides coming up with best practices for information security and data protection.
Technical Skills:
9+ years of work experience required.
Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required.
A Minimum of 8 years of experience in software development required; Good understanding of financial markets with prior experience in building, supporting front[1]office trading systems is a plus.
Minimum 5 years of experience around building highly scalable systems using MongoDB.
Demonstrable experience building data pipelines in Python.
Experience building on the Public Cloud (preferably Azure or AWS)
Experience using cloud based PaaS data platforms such as Snowflake and Databricks.
Experience with modern opensource ETL/ELT and orchestration tools such as Airbyte or Airflow.
Experience with data modelling for both operational and analytical datastores
Experience with data lake concepts and strong understanding of data design patterns culminating into microservices development.
Experience in developing Data Pipelines to support near-real-time and event-driven messaging and data processing.
Expertise in Agile development
Experience in handling high volume data processing through concurrency and multi[1]threading techniques to build scalable, performant and resilient applications.
Collaborate cross-functionally with data engineers, business users, project managers and other engineers to achieve elegant solutions.