Data Engineer

June 22, 2020
Full Time Yerevan, Armenia

Webb FontaineHolding LLC


Webb Fontaine is seeking a Data Engineer to join a team providing solutions for the improvement of business activities. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools which will influence both our products and clients.



  • Identify, design, and implement internal processes for the Digital Analytics team – including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability;
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies;
  • Create data tools for analytics and data scientist team members that assist them with advanced analytics projects, scalable ad-hoc analysis, and automated reporting.





  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
  • Experience with big data technologies: Hadoop, Spark, Hive;
  • Experience with integration of data from multiple data sources;
  • Experience with object-oriented/object function scripting languages: Python, Java, Scala;
  • Proficient in designing efficient and robust ETL workflows;
  • Strong analytical skills with the ability of attention to details and accuracy;
  • An active, self-motivated, quick learner, and innovative person;
  • Good communication and knowledge sharing skills;
  • Fluent in English, knowledge of French is a plus.


  • 3+ years of experience;
  • At least 2 years of experience with big data tools: Hadoop, Spark, Kafka, etc.;
  • At least 2 years of experience with relational SQL and NoSQL databases, including PostgreSQL and Oracle;
  • Relevant experience in ETL, data processing, database programming, and data analytics.


  • Bachelor or Master’s degree in Computer Science, Applied Mathematics, Statistics, or Software Engineering.


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