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Data Engineer
drjobs Data Engineer العربية

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1 Vacancy
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Job Location

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- Any

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2459588

Best Western ARThotel a renowned player in the Hotels and Motels industry is seeking a proficient Data Engineer to join our dynamic team. Youll have the opportunity to work in an artistic environment that prioritizes innovation and creativity. Your role will involve transforming data into a format that can be easily analyzed developing constructing testing and maintaining architectures such as databases and largescale processing systems. If you are passionate about data management and possess strong analytical skills we would like to meet you. Join us and contribute to enhancing our data systems and driving business success.

Tasks

  • Design and implement scalable data pipelines to extract transform and load large volumes of hotel data from various sources

  • Develop and maintain data integration solutions to ensure seamless flow of data between different systems and databases

  • Create and optimize data models and schemas to facilitate efficient data storage retrieval and analysis

  • Collaborate with crossfunctional teams to understand and fulfill data requirements for business intelligence reporting and analytics purposes

  • Identify and resolve data quality issues by implementing data cleansing and validation techniques

Requirements

  • Minimum of 2 years of experience as a Data Engineer in the Hotels and Motels industry
  • Strong proficiency in SQL and database management systems
  • Experience in data modeling and designing efficient data pipelines
  • Proficiency in at least one programming language such as Python or Java
  • Familiarity with cloud platforms such as AWS or Azure

Join the Best Western ARThotel team and unleash your passion for data engineering. Apply now to be a part of our cuttingedge hotel industry solutions!

Employment Type

Full Time

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala
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