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Data Engineer

für Plan and implement automated unit and integration tests for firmware

ab 57,596 brutto/Jahr Wien Vollzeit m/w/x
Technologien und Skills
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Deine Rolle im Team
  • Implementing Enterprise-scale BI and Analytics Use Cases using Big Data Technologies
  • Leading an Agile Team, which is committed to the fast delivery of high-quality results using the BI Reporting & Analytics and Big Data tool stack together with international colleagues
  • Managing the Lifecycle of the existing BI & Analytics platform
  • Transforming the existing tools / frameworks to a holistic "Data-as-a-Service" platform
  • Elicits the Business Demand and analyzes requirements of Enterprise Data Use Cases and acts as the face to the customer
  • Develops, maintains and tests Enterprise Data Use Cases for BI and integrates them with Big Data solutions
  • Supports in building-up large-scale data processing systems and complex big data projects
  • Builds data processing systems in Hadoop, Spark and Hive (Cloudera Data Platform)
  • Implements and integrates ETL workflows (Talend Data Fabric)
  • Understands how to apply technologies to solve big data problems and contributes to the design of Enterprise Data Use Cases
  • Focuses on collecting, parsing, managing, analyzing and visualizing large sets of data coming from heterogeneous domains
  • Works in a highly motivated interdisciplinary team with different Business stakeholders, Architects, Data Engineers, and Data Scientists from both Business and IT
Unsere Erwartungen an dich

Qualifikationen

  • Knowledge in different programming or scripting languages like SQL, Java, Python, R, Ruby
  • Good oral and written communication skills in English and German (Slovak, Bulgarian, Hungarian as a plus)
  • Good team player, able to work in a problem-solving agile environment

Erfahrung

  • Experience with Data Warehousing and BI & Analytics Platforms, Reporting (eg. SAS Analytics Platform / Viya / etc..., Information Builder WebFOCUS, Power BI et.al.) as a must
  • Experience with Big Data Hadoop/Spark/Hive/HBase ecosystems like Cloudera / Hortonworks preferred
  • Experience with Data Ingestion / Integration solutions like Talend / SAS Data Integration Studio preferred
Quellen Information

Job: Data Engineer for BI and Big Data (f/m)

Seite: www.karriere.at

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