Vacancies: Armenia

Big Data Engineer, Multinational Financial Services

Position Overview

DataArt's specialists participate in data governance and data improvement processes for one of the top three UK insurance companies. Our team helps the client in finding and clearing issues with the data.

The Big Data engineer will be responsible for creating applications and solutions that will manage data flow using Spark.


Required Skills and Experience

  • Hands-on experience with Spark and Scala
  • Experience handling large data using streaming
  • Strong experience with SQL and Data modeling
  • Spoken English

Nice to have

  • Experience working in an agile environment and understanding of various phases of the software development life cycle
  • Skills working with Hadoop (HDFS, MapReduce) ans Oozie
  • Skills working with the Cloudera platform
  • Skills using source code and version control systems like SVN, Git, etc.
  • Knowledge of Hadoop architecture components

Please send your CV and cover letter

We are committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of bias including age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. DataArt is committed to providing a working environment free from harassment and bullying and ensuring all staff are treated, and treat others, with dignity and respect. Our commitment to promoting equal opportunities and creating the workplace free of harassment and discrimination is supported by the implementation of respective policies and controls, provides an appropriate environment to encourage good performance and conduct at all its working locations, at all times.

Join Us

Why DataArt?

  • People first

    • Commitment to people is by far the highest value for DataArt
    • 99% of Glassdoor reviewers would recommend DataArt to a friend as a place to work
    • DataArt offers a rare work/life balance (Glassdoor work/life balance rating of 4.7)
    • DataArt invests in long-term relationships with its employees
  • Flexibility

    • Minimum bureaucracy
    • Flexible work schedule
    • Well-organized system of administrative services
    • Flat, decentralized structure
    • There are very few strict rules within DataArt
    • While our values do not change, rules and policies are subject to discussion and change in response to changing context and circumstances
  • Expertise

    • Highly qualified professionals
    • Supportive learning environment
  • Trust

    • We don't believe in control or surveillance
    • We avoid micromanagement
    • Clear, universal rules and policies
    • Open and accessible management
More about DataArt Values and Benefits

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