Offre #101495

Data Engineer

Développement, Autres , Base données

Description du poste

For one of our client based in Geneva, we are looking for a 

 

Data Engineer

 

By joining the Aftermarket Data Analytics Management team, your contributions will drive the next generation of decision making and action taking in Global Aftermarket Solutions at client place.

 

You will make a difference by:

  • Driving our Data strategy
  • Achieving Data integrity, security & accessibility targets
  • Transforming our data processes
  • Advising users & analysts 

 

Responsibilities:

  • Build infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources
  • Create controlled data transformation for reporting, incorporating dealer business rules
  • Optimize data analytics, modeling, visualization, transformation and enrichment
  • Operationalize analyst workflows, tables and processes
  • Engage directly with business partners to participate in design and development of data integration/transformation solutions
  • Set up processes and standards for data documentation 

 

Basic Qualifications:

  • Previous experience as a data engineer, IT Engineer, IT analyst, software developer or data analyst

 

Top Candidates will also have:

  • BS in Computer Science, Computer Engineering, Business Analytics, or related fields
  • 1-2 years software development experience with object-oriented function scripting languages: Python, Java, Javascript, C++, Scala, etc
  • Passion for acquiring, analyzing and transforming data to generate insights
  • Thrive in a fast-paced environment that delivers results and has fun
  • Strong attention to detail
  • Great verbal and written communication skills to collaborate cross functionally
  • Interpersonal skills with the ability to work effectively in a cross functional team

 

Technical:

  • Understanding of data structures, algorithms, profiling & optimization
  • Understanding of SQL, ETL design, and data modeling techniques
  • Demonstrated analytical ability, judgment and problem analysis techniques
  • Familiarity with cloud computing concepts
  • Knowledge of big data tools: Hadoop, Spark, Kafka, etc.
  • Knowledge of relational SQL and NoSQL databases, including Postgres and Cassandra
  • Knowledge of data blending tools: Alteryx
  • Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. 
  • Knowledge of AWS cloud services: EC2, EMR, RDS, Snowflake 
  • Knowledge of stream-processing systems: Storm, Spark-Streaming, etc. 
  • Knowledge of API managers: Apigee, Azure, Catana, etc
  • Knowledge of version control systems: Git, VSTS
Interested by this challenge ? Feel free to apply

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