Data Engineer – Big Data

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

    20 years’ of excellence | Tech expertise | Running mission-critical system | User-centric approach around agile multidisciplinary teams - We combine them with the latest digital innovation to help clients unlock value and thrive in the age of digital transformation, enabling clients to become high-performance businesses and creating long-term relationships by being responsive and relevant and by consistently delivering value, new levels of performance, competitiveness and experiences for our customers and their stakeholders.

    Now one of the leading technology companies in Eastern Europe, we started out in 2000 as a family-owned-and-managed business. Foresight and an ongoing desire to evolve attracted partners and talent of equally bold vision, insuring our 4 years in a row place in the ‘Deloitte Technology CEE Fast 50’ and ‘EMEA Fast 500’.

    InCrys owes the better part of its achievements to our active focus on people. We constantly invest in our employees’ training, professional development, and general work-related wellbeing. Our people-oriented approach secures our place as trusted partner and ensures our clients can always find the appropriate resources to empower their business.

    Requirements

    • Deep experience with Software Development Lifecycle and Programming Best
    Practices
    • 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

    Responsibilities

    • 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
    technologies
    • 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

    Benefits:

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

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