Data Engineer – Big Data
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Employer: | InCrys |
Domain: |
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Job type: | full-time |
Job level: | 1 - 5 years of experience |
Location: |
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Updated at: | 24.09.2021 |
Remote work: | On-site |
A COLOURFUL GROUP OF PEOPLE PASSIONATE ABOUT TECHNOLOGY & THE WONDERS OF INFORMATION
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
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
• 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
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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