Senior Python Developer (offline)

Project Description:
We are looking for a data engineer with experience in developing data pipelines and join our team working on a new transaction monitoring application used across multiple businesses.

As a Data Engineer, you will be responsible for the ingestion of data into the system. You will start by extracting the existing ETL layer from legacy R code to a robust, modern platform capable of serving multiple data models being developed. You will then look to scale this up to support multiple different data sources and pipelines. You will work with the data scientists as end consumers of the data to ensure we are meeting their needs. You will contribute to the team's strategy around deployment best practices.

This is an exciting opportunity to work on an important project, which will have a huge impact on our future architecture.

Responsibilities:
• Working closely with a data-centric application, hosting algorithms to detect possible market abuse.
• Designing the ETL architecture, as we look to extract it from an existing legacy application. After that, building out additional ETL layers to support the onboarding of additional data sources.
• Working closely with quants/data scientists to ensure that they have the data necessary to add new algorithms, and that the data is of the necessary quality and timeliness to support these.
• Act as the subject matter expert regarding data pipelines to the DevOps focused team and to external stakeholders
• Building a close relationship with clients and stakeholders to understand the use case for the platform, and prioritise work accordingly
• Working well in a multidisciplinary DevOps-focused team, building a close relationship with other developers, Quants/Data Scientists and production support teams

Mandatory Skills:
• You have experience building data pipelines with Python. You understand how these should be hosted and how to take them into production in a supportable way.
• You have experience working with message queues, traditional databases (SQL) and NoSQL databases.
• You have worked closely with data scientists before and may have experience creating pipelines that can serve ML/statistical algorithms.
• You have high development standards, especially for code quality, code reviews, unit testing, continuous integration and deployment
• You have proven capability to interact with clients and deliver results, taking ideas to production
• You have experience working in fast paced development environments
• You agree that verbal and written communication skills are vital

Nice-to-Have Skills:
Experience with Spark or Scala
Experience with Kafka or Solace
Experience with KDB
Experience working with R code.

About Luxoft

Luxoft (NYSE:LXFT) is a global consulting partner that offers end-to-end digital solutions to solve clients’ complex business challenges.

We are a new class of digital service provider that combines consulting, strategy, and engineering at scale. We use this to drive business change by applying engineering excellence, deep domain expertise, and our senior software engineering talent to improve your client’s customer experience, boost your operational efficiency, and strengthen your competitive advantage.

We have expertise in automotive, financial services, healthcare, life sciences, telecommunications, and other industries. As a highly committed partner, we take customer challenges as our own. Our dedication stems from a passion for technology and a bespoke attention to your needs.

With over two decades of consistent, timely delivery and management of complex projects, we now serve over 280 active clients. With our headquarters in Zug, Switzerland and 42 global locations, we operate in 21 countries across five continents, providing you with robust global delivery platform. With about 12,700 employees, we have the best technology talent to support your business needs.

Company website:
https://www.luxoft.com/