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SoftServe | София

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Тази обява е публикувана само в DEV.BG Jobs: Преглеждаме значимите български сайтове за обяви за работа (с поне 400 IT обяви за работа). Тази обява не е публикувана в нито един от тях.
10 юни
Обявата е публикувана в следните минибордове
  • Sofia, Bulgaria
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    WE ARE

    At SoftServe, we are advisors and providers who operate on the cutting-edge of technology. With you, we set goals and reach them to grow better together, learning from both successes and mistakes. We are a team of 11 000+ thinkers and makers in more than 30 offices worldwide, true professionals and good people, who like what we do and do it well.

    Our client is one of the biggest players in the world in the field of supply chain and procurement. They provide highly efficient procurement services for the leading technological and manufacturing companies. To enable large scale business processes the information infrastructure of the client consists of various web and desktop applications which operate with large sets of sets of data and used by client employees to manager business flows and cooperation with their business partners. The project aims at creating the solution for analysis of the supply chain data sources and providing insights that could be used to facilitate customer collaboration and optimize internal supply chain processes. You will be the key engineer taking over the leadership on the data engineering activities and collaboration with other sub teams and departments in order to deliver high quality and robust solution that meets business priorities.


    A professional with at least 4-year experience with

    • Data processing and computation frameworks (e.g., Spark, AWS Glue)
    • Strong hands-on experience with AWS Cloud and AWS Data Services
    • Glue Endpoints, Step functions, Lambda
    • SageMaker notebooks using Python and PySpark to create features and write to S3 & AuroraDB
    • Various RDBMS in particular MySQL, Aurora, DynamoDB
    • Stream processing, batch processing, and data integration from multiple data sources
    • Expert knowledge of distributed computing, microservices, and Lambda Architecture principles
    • Understanding of Cloud Solutions and Architecture
    • Excellent organizational, time-management, coaching, and supervisory skills
    • Bright presentation, communication, and interpersonal skills
    • Ability to talk in technical language and switch to the language of business managers
    • Upper-Intermediate English level or higher


    • Key business users, Data Scientists, IT Tech leads
    • Lead data engineering activities, in particular, data processing, cleaning, transformation, and preparation
    • Participating in architectural sessions to improve and enhance the existing solution
    • Coordinating teamwork across SDLC iterations and taking accountability for meeting team goals
    • Data science team to coordinate data needs and feature engineering
    • Applying and following best industry standards


    • Develop leadership competence in the field of data engineering
    • Work on the cutting edge enterprise solution being on the top of the trend in manufacturing and supply chain domains
    • Lead on architecture and technical decisions to deliver high-quality results and applying best industry practices
    • Build up strong collaboration between engineering teams and facilitate implementation of new features