Python + Big Data Software Engineer - @ Luxoft

• 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

• 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

• 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