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Luxoft, a DXC Technology Company, (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Luxoft uses technology to enable business transformation, enhance customer experiences, and boost operational efficiency through its strategy, consulting, and engineering services. Luxoft combines a unique blend of engineering excellence and deep industry expertise, specializing in automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications. For more information, please visit www.luxoft.com

Line of Business:

Financial Services

Position:

Data Pipeline Engineer, Zurich

Project Description

Single Client View project is building up relatively new solution for data visualization of various customer data coming from Spark, Hadoop and proprietary big data instruments for Top Tier Swiss Based Financial institution

We work in small agile self sufficient teams responsible for front to back solution delivery, technologies and architecture.

Our solution has healthy combination of open-source and proprietary tools and frameworks though we would be happy to improve our solution to keep it simple and scalable.

On this role you would be responsible for building, testing and monitoring complex data pipelines for the front end team.

Join our team and help us to build game changing product for internal users!

Responsibilities

- Daily batch run implementation
- Implementing pipeline code e.g. alerts
- Data ingestion
- Generating derived data feeds
- Pipeline refactoring and optimization
- Pipeline logging
- Unit and regression testing
- Design, functional, test documentation

Skills

Must

We are searching for a person with an engineering mindset, "can do" attitude capable to keep the data flow. We expect you to take care of front to back delivery with no compromise to a code and data quality.

Must have:
- Fluent English and very good communication and interpersonal skills
- Expert in Python, Spark/PySpark and SQL
- Profound knowledge of data structures and algorithms
- Hands on experience with Spark and PySpark
- Hands on experience with Cloudera CDH (Hadoop, Hive, Hbase, Impala)
- Experience working within Agile environment, preferably Scrum
- Git, Unix

Nice to have

Nice-to-have:
- Experience with banking or financial industry
- Graph Databases
- Java

Languages

  • English: Advanced/Fluent

Relocation package

If needed, we can help you with relocation process. Click here for more details:

WHERE

Zurich

Work Type

Python

Seniority Level

Senior

Ref number
VR-44667
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