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Big Data Architecture Position

1 tydzień temu

Kraków, Lesser Poland TN Poland Pełny etat

We're TN Poland, a leading provider of advanced data connectivity solutions worldwide. Our team is expanding, and we're on the lookout for a skilled Data Engineer to help us build and implement cutting-edge data architectures.

Data Engineer (Tech Lead)

We offer:

  • A chance to work with a global leader in data connectivity
  • Full training, ongoing support, and the tools you need to grow and develop in your role.
  • A collaborative work environment with a team that genuinely values and respects its employees.
  • Full remote work.

Responsibilities:

  • Design and implement efficient data architectures for large-scale applications
  • Develop and deploy new features that directly impact our customers.
  • Gather and refine specifications and requirements based on technical needs.
  • Stay up-to-date with emerging technologies/industry trends and apply them into operations and activities.
  • As a Data Engineer, you will play a key role in building from scratch the data-lake and data warehouse
  • You will be required to learn and quickly master new technologies and help define the next generation of the product.
  • We're looking for someone who is passionate about technology and data and has end-to-end experience with data engineering, pipelines, and big data tools.

Requirements:

  • At least 4 years of experience with Python - a must.
  • Experience with AWS cloud services: S3, Glue, EMR, Kinesis, Athena, Redshift - a must.
  • Strong knowledge with Microsoft SQL Server - a must.
  • BSc in software engineering/ computer science/ equivalent - a must.
  • Experience with .NET (6 / 7 / 8) - huge advantage, but not must have.
  • Experience with event-driven architecture.
  • Experience in working with microservices, and Docker.
  • Git Source Control Management.
  • An eagerness for building highly resilient and scalable systems with cutting-edge technology.
  • Self-motivated, autodidact with the ability to work independently and prioritize.
  • Team-player who enjoys collaboration.