Data Engineer – Big Data

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Employer: InCrys
  • IT Hardware
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
  • Updated at: 24.09.2021
    Short company description


    This is us. A fast-moving team, senior enough to assure effectiveness, but young enough to be flexible and transparent, we started out in 2000 as a privately-owned-and-managed business.

    We’re a company with a soul, driven by our values and dedicated to fulfilling our mission to offer world class services, by continuous learning. Our Paladins (just employees in some companies) are empowered to work hard, move up and stand proud.

    With active investment in our people's professional development and with the creative-InCrys-touch, we support our clients throughout the project's life cycle, providing end-to-end technology solutions for mission critical systems, products and services.


    • Deep experience with Software Development Lifecycle and Programming Best
    • Mid to Expert Level programming capabilities in a large-scale enterprise, using
    Python, Java or Scala
    • Minimum 2 years of Data Engineering Experience (Creating pipelines /
    workflows for Source to Target)
    • Experience with Distributed Versioning Control environments such as GIT
    • Familiarity with development tools (experience on either IntelliJ / Eclipse /
    VSCode IDE, Build Tool Maven)
    • Experience on Azure cloud is preferred (Data Factory, Databricks, Data Lake
    Storage is preferred)
    • Experience on DevOps is preferred
    • Strong Mathematical Skills

    Nice to have:

    • Containerization platforms such as Docker, OpenShift-Pipeline and Packaging
    applications such as Microsoft Azure Pipelines, Jenkins, and Maven
    • Ability and willingness to take Azure Certification training and pass exam for
    the Cert (Azure Data Engineer -DP200 & DP201)
    • Those having an existing certification on Big Data or Cloud will be preferred


    • As a Data Engineer, your primary duties will be related to the collection,
    parsing, preparation, transformation, and integration of data from a primary
    source into either an on-premise big data distribution or into an elastic
    cloud solution
    • The Data Engineer will work directly with Data Architects to convert the
    big data vision into a reality
    • The individual in this role possesses a deep level of programming
    experience and technical experience across a wide array of products and
    • Further, the Data Engineer understands how to apply technologies to solve
    big data problems, and has the ability to build large-scale data processing
    systems for the enterprise
    • They will develop, maintain, test and evaluate their solutions with a larger
    team, and provide necessary feedback and recommendations as needed
    • Fundamentally, this individual will leverage data management processes,
    available infrastructures, and API tools to develop codebases and solutions
    that will directly impact the success of our clients

    Other info


    • Motivating salary
    • Stimulating working environment
    • Medical insurance
    • Annual team building
    • Opportunities to learn and grow your skills
    • Gym membership discoun

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