Position: Python + Big Data Software Engineer
Company: Luxoft
Category: Python
Experience required: 3y
English level: upper

Project is about creation of SaaS environment for Data Scientists that utilizes company's historical as well as real-time data assets and leverages machine learning to power predictive algorithms.
Responsibilities:
- Work with subject matter experts to identify opportunities for leveraging company data to solve data monitoring use cases.
- Own end to end deliverables
- Participate in MVP/Minimal Marketable Feature discovery process
- Integrate third-party ML/DL frameworks as well as participate in creation of corporate ML/DL framework
- Create proper development environment (IDE) as a service for data scientists using Python
- Create API for customers to connect from third-party Python Development Environment
- Integrate BigData storages (Spark, Storm, Hadoop/Hive) with ML/DL frameworks as well as IDEs
- Collaborate with colleagues/stakeholders on data acquisition, modelling and deployment.
- Integrate
Mandatory Skills Description:
- Excited about data science
- 5 years of experience in developing with Python
- Excellent understanding of system design patterns (functional as well as OOP)
- Ideally hands-on experience in one of Java or Kotlin or Scala
- In-depth understanding of Data Structures and Distributed systems
- Experience in Real-time, batch data processing, BI tools, heterogeneous data processing, enrichment, and aggregation is expected
- Strong experience in developing backend platforms using No-SQL/in memory (Spark, Storm, AWS Glue) as well as RESTful microservices in a cloud-hosted environment
- Excellence in task estimation and owning end to end deliverables
- Excellent team player, strong communicator, analytical and critical thinker
- Preferably experience of working in cloud environments (Azure, GCP, AWS etc)
Nice-to-Have Skills:
- Experience in ML/DL techniques (e.g. regression, classification, topic modeling, time series) using Python, R + TensorFlow/Keras or Azure Storage+ML+DataBricks or AWS ML/DL
- Experience in developing microservices in cloud/in house settings
- Financial services industry experience
Languages:
English: B2 Upper Intermediate