Data Architectural Specialist

2 days ago


Remote Warsaw, Czech Republic GetInData | Part of Xebia Full time

About the Role

We are seeking an experienced Data Engineer to join our team at GetInData, part of Xebia. This key position plays a vital part in our company's data infrastructure, and we're looking for candidates with exceptional skills and expertise.

Job Description

  • Design, construct, and maintain data architecture, tools, and procedures facilitating the collection, storage, manipulation, and analysis of large datasets.
  • Erect data platforms atop commonly provided infrastructure and establish a streamlined path for Analytics Engineers who rely on the system.

Key Responsibilities

  • Collaborate with Platform Engineers to assess and choose suitable technologies and tools for projects.
  • Develop and commit new functionalities and open-source tools.
  • Execute intricate data intake procedures.
  • Implement and enforce policies aligning with the company's strategic plans regarding utilized technologies and work organization.
  • Ensure compliance with industry standards and regulations in terms of security and data privacy applied in the data processing layer.
  • Conduct training and knowledge-sharing sessions.

Requirements

  • Proficiency in Python, Scala, or Java programming languages.
  • Familiarity with Lakehouse platforms, specifically Databricks.
  • Experience working with messaging systems, particularly Kafka.
  • Knowledge of Version Control Systems, especially GIT.
  • Extensive experience in Microsoft Azure.
  • Proficiency in orchestration and scheduling tools, such as Airflow, Azure Data Factory, Prefect, or Dagster.
  • Familiarity with DevOps practices and tools, including Docker, Terraform, CI/CD, and Azure DevOps.

Benefits

  • Sport subscription.
  • Private healthcare.
  • Flat structure.
  • Small teams.
  • International projects.
  • Team events.
  • Training budget.
  • Free coffee.
  • Gym.
  • Bike parking.
  • Playroom.
  • Free snacks.
  • Free beverages.
  • In-house trainings.
  • Startup atmosphere.
  • No dress code.
  • Kitchen.

Languages: English.



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