RESPONSIBILITIES:

• Analyze user requirements and translate them into a Data Engineering problems
• Design, develop and maintain robust, production-ready analytics pipelines – from data ingestion to data service
• Build and maintain scalable analytics services for serving the data to various applications
• Work with different architectures based on streaming and batch data
• Research and test new concepts and technologies for data manipulation
• Work in a collaborative environment for our highly valued customers
• Work closely with other data engineers, data scientists, and data visualization specialists.
• Deliver clean, portable, and well-documented code with Python and
• Grow both technically and professionally in a fast-paced environment

REQUIREMENTS:

• Knowledge of Python and SQL
• Understanding of UNIX based systems
• Hands-on experience with version control tools
• Basic understanding of software development and programming languages – especially the understanding of data structures and data types
• Ability to work on projects with tight deadlines, being able to switch rapidly between projects
• Fluency in English
• Excellent written and verbal communication skills
• Strong work ethic, willingness to learn and contribute
• Ability to quickly adopt new technologies
• Good teamworking skills
• Excellent time management skills and ability to prioritize work
• Work experience is desirable, but not mandatory

BONUS POINTS:

• Experience with the following technologies: Pandas, Spark, Bash scripting, Hadoop, Elastic, Kafka, Scala
• Experience with containerization technologies: Docker, Kubernetes
• Experience with CI/CD environments
• Experience with public cloud platforms (GCP)
• Expertise in some of the following industries:
  • Telecommunications
  • Banking / Finance / Insurance
  • Retail
  • Marketing & Media
  • SaaS
  • Supply chain
• Experience with different IDEs:
  • Pycharm
  • Datagrip
  • Other

Send your CV to career@thingsolver.com with tag [DE] in the email subject.