Position: Middle Python Engineer (Retraining for Big Data)
Company: SoftServe
Category: Python
Experience required: 2y
English level: upper

**WE ARE**

Our customer is a diversified resource company committed to responsible mining and mineral development with business units focused on steelmaking coal, copper, zinc, and energy. SoftServe forms a big part in a big initiative of our customer - innovation-driven efficiency program. It's about taking a companywide approach to renewing our technology infrastructure, looking at opportunities for automation and robotics, connecting our data systems to enable the broad application of advanced analytics and artificial intelligence, and empowering the employees, with a focus on making real progress between now and 2021.

Our expertise, knowledge, and dedication are highly valued by the customer and earned us the status of a trusted vendor. SoftServe keeps being engaged in new activities, and here we are – looking for new talent to expand our fantastic team.

**YOU ARE**

• A highly motivated Python Engineer looking for an exciting opportunity to join a vibrant and dynamic team of professionals and work for a reputable international company
• Loving GCP, but also ready to switch to Azure or AWS in the future
Proficient in any SQL database
• A person who doesn't like saying 'that's not in my profile/this is not my job description'
• Experienced with Agile/Scrum methodologies
• A good communicator, who's not afraid to get clarifications from customer
• A person with a good English level (let's say upper-intermediate)
• Not afraid to ask for help when needed

**YOU WANT TO WORK WITH**

• Modern technologies popular on the market
• Interesting customers
• Challenging projects
• Either alone on a subproject or in a team
• Both developing new functionality and improving the existing ones
• Remote teams located in Ukraine, Poland & Canada

The project, which will help you to get:

• Understanding and practice with general Big Data concepts (Hadoop, Spark, CAP theorem, NoSQL, batch vs streaming, ETL vs ELT)
• A concept of time-series data and analysis approaches
• The basics of cloud concepts and capabilities, in particular, Microsoft Azure (IAAS/PAAS/SAAS, object storage, virtual machines, fully managed services, serverless computing)
• High-level understanding of Power BI concepts
• Hands-on experience with Apache Spark and Databricks notebooks
• Practical expertise with Microsoft Azure (including Azure Data Lake, Azure Data Factory, and Azure EventHub)
• Hands-on experience with MS SQL Server

**TOGETHER WE WILL**

• Accomplish great things
• Get a great deal of learning and development opportunities along with our structured career path
• Process dynamic projects and still very stable place to work
• Take part in internal and external events where you can build and promote your personal brand
• Give you access to experienced specialists willing to share their knowledge
• Care about your individual initiatives we are open for them, just come and share your ideas