Data Engineer Állás

Megjelenés dátuma: 2024. február 20.

Kövess minket!


Azonosító: 12386 Helyszín: Budapest Munkakör: Data scientist, data engineer

We are looking for a new Data Engineer to expand our Swiss-based Partners team.

Tasks

  • Define the optimal architecture of the Data & Analytics platform enabling the availability and re-usability of all required data for the creation of analytics products
  • Manage and monitor data pipelines to source and transform data to the Data & Analytics Platform(s)
  • Integrate and transform new data sources (internal and external) by creating a full pipeline from ingestion to ETL process
  • Deliver Data Provisioning to operational applications requiring transformation of data from several sources
  • Optimize and expand the Data & Analytics platform data flows and data models, supporting in deploying analytics products
  • Define and document detailed Data Engineering processes to guarantee efficient building and support of the data & analytics platform
  • Assess the stability, robustness and efficiency of the implemented ELT processes and data pipelines and eventually re-design them
  • Gather requirements and write technical specifications document
  • Ensure and monitor high data quality standards with focus on data consistency
  • Timely resolve incidents related to data interfaces and ELT processes
  • Expand the current Data & Analytics platform to embed big data capability by investigating and sharing best practices

Requirements

  • Masters degree in IT / Business / Economics / Statistics
  • 4-5 years of experience required
  • Experience with data modelling (conceptual, logical, physical) and data modelling documentation.
  • Professional experience and conceptual knowledge of building and maintaining physical and logical data models, including data streaming.
  • Ability to think beyond technology requirements to build ONE logical Data & Analytics platform
  • Excellent knowledge and proven professional experience with MS Azure and Lakehouse architecture, in-depth knowledge and/or certification in Databricks (Spark).
  • Well structured, analytically thinking and demonstrating the ability to explain processes in a clear and understandable manner to a non-technical audience
  • System management expertise with monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment

Our offers

  • Competitive base remuneration determined by actual experience and skills
  • Life 1 sportpass
  • Fringe benefits complementary to the base remuneration (cafeteria, bonus)
  • 2 days a week home office provided.
  • Working together with a dynamic team of IT professionals
  • Great working conditions catalyzing professional development
  • Opportunity to learn diverse technology platforms and industry standard solutions

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