Medior Enterprise Data Engineer @ United Consult Zrt. Budapest

Medior Enterprise Data Engineer @ United Consult Zrt.

Budapest

• Having experience in building large-scale batch and/or real-time data pipelines with data processing frameworks in cloud platforms and/or on-premises is beneficial.
• Having experience with data profiling, data quality analysis, building business data glossaries and data catalogs is beneficial.
• Knowledge regarding data governance and master/reference data management programs is beneficial.
• Sound written and verbal communication skills.
• Conversational level English is a must.
• Self-starter, takes initiative and is able to work in a fast-paced environment.
• Flexible 1 day of on-site work in Budapest XIII, and expected to timely and physically present on meetings when required, typically during project onboarding which is the first one or two months after starting.
• Expected to adhere to specific agile cadence and project attendance requirements, e. g. Periodic project meetings, workshop and agile ceremonies that may span multiple timezones, e. g. Central Time, Brasilia Time, Central European Time or Indochina Time.
  

The Data Engineer will work closely with other architects, product owners, data engineers, analysts and developers to design and implement large scale, complex and integrated enterprise data sets aligned with enterprise data principles and standards. May have to compile business requirements into data requirements. Influence solution design and delivery and work on analyzing, designing, ingesting, transforming and consolidating data and making it accessible and available to various data consumers. 

,[Focused on specific business capability areas, data domains., Understands structure of data assets and data management resources., Creates & maintains data domain specific data models aligned with enterprise mandates., Drives delivery of data artifacts and deliverables (e.g. data models, data structures for business data domains, data transformations, etc.)., Collaborates closely with Data Architects, Product Owners, Scrum Masters, developers, analysts and IT to complete assigned work., Provides guidance to specific data domains., Creates technology Proof-of-Concepts, prototypes and spike solutions.] Requirements: SQL, SAP, Apache Kafka, Azure Data Factory, IDERA ER/Studio, Precisely EnterWorks, Collibra, Qlik Replicate, Azure Function Apps/Logic Apps, PySpark, Snowflake, Dataiku, Databricks, GitHub, GitHub Actions Additionally: In-house trainings, Modern office, Free snacks, Free coffee.

Kategorie

data

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